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Linear time-invariant system

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93: 4604: 36: 7039: 4231: 6592: 12599: 4599:{\displaystyle {\begin{aligned}\overbrace {\int _{-\infty }^{\infty }h(\tau )\,Ae^{s(t-\tau )}\,\mathrm {d} \tau } ^{{\mathcal {H}}f}&=\int _{-\infty }^{\infty }h(\tau )\,Ae^{st}e^{-s\tau }\,\mathrm {d} \tau \\&=Ae^{st}\int _{-\infty }^{\infty }h(\tau )\,e^{-s\tau }\,\mathrm {d} \tau \\&=\overbrace {\underbrace {Ae^{st}} _{\text{Input}}} ^{f}\overbrace {\underbrace {H(s)} _{\text{Scalar}}} ^{\lambda },\\\end{aligned}}} 12145: 7286: 3864: 7034:{\displaystyle {\begin{aligned}{\mathcal {A}}\{c_{1}x_{1}(t)+c_{2}x_{2}(t)\}&=\int _{t-a}^{t+a}(c_{1}x_{1}(\lambda )+c_{2}x_{2}(\lambda ))\,\mathrm {d} \lambda \\&=c_{1}\int _{t-a}^{t+a}x_{1}(\lambda )\,\mathrm {d} \lambda +c_{2}\int _{t-a}^{t+a}x_{2}(\lambda )\,\mathrm {d} \lambda \\&=c_{1}{\mathcal {A}}\{x_{1}(t)\}+c_{2}{\mathcal {A}}\{x_{2}(t)\},\end{aligned}}} 2806: 3512: 1155: 6061: 9591: 7044: 3634: 12852: 2983: 9880: 3302: 12893:. Two of the most important properties of a system are causality and stability. Non-causal (in time) systems can be defined and analyzed as above, but cannot be realized in real-time. Unstable systems can also be analyzed and built, but are only useful as part of a larger system whose overall transfer function 7609: 12594:{\displaystyle {\begin{aligned}{\mathcal {A}}\left\{c_{1}x_{1}+c_{2}x_{2}\right\}&=\sum _{k=n-a}^{n+a}\left(c_{1}x_{1}+c_{2}x_{2}\right)\\&=c_{1}\sum _{k=n-a}^{n+a}x_{1}+c_{2}\sum _{k=n-a}^{n+a}x_{2}\\&=c_{1}{\mathcal {A}}\left\{x_{1}\right\}+c_{2}{\mathcal {A}}\left\{x_{2}\right\},\end{aligned}}} 5595: 9178: 2602: 1187:
in the case of discrete-time systems). As a result of the properties of these transforms, the output of the system in the frequency domain is the product of the transfer function and the transform of the input. In other words, convolution in the time domain is equivalent to multiplication in the
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Most LTI system concepts are similar between the continuous-time and discrete-time (linear shift-invariant) cases. In image processing, the time variable is replaced with two space variables, and the notion of time invariance is replaced by two-dimensional shift invariance. When analyzing
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less than some value. Usually, this "start time" is set to zero, for convenience and without loss of generality, with the transform integral being taken from zero to infinity (the transform shown above with lower limit of integration of negative infinity is formally known as the
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In many contexts, a discrete time (DT) system is really part of a larger continuous time (CT) system. For example, a digital recording system takes an analog sound, digitizes it, possibly processes the digital signals, and plays back an analog sound for people to listen to.
6297: 12604: 9712: 7472: 10728: 4706: 7281:{\displaystyle {\begin{aligned}{\mathcal {A}}\left\{x(t-\tau )\right\}&=\int _{t-a}^{t+a}x(\lambda -\tau )\,\mathrm {d} \lambda \\&=\int _{(t-\tau )-a}^{(t-\tau )+a}x(\xi )\,\mathrm {d} \xi \\&={\mathcal {A}}\{x\}(t-\tau ),\end{aligned}}} 2832: 13317: 12140: 5462: 3859:{\displaystyle {\begin{aligned}(x*h)(t)&=O_{t}\left\{\int _{-\infty }^{\infty }x(\tau )\cdot \delta (u-\tau )\,\mathrm {d} \tau ;\ u\right\}\\&=O_{t}\left\{x(u);\ u\right\}\\&\mathrel {\stackrel {\text{def}}{=}} y(t).\,\end{aligned}}} 6065:
One can use the system response directly to determine how any particular frequency component is handled by a system with that Laplace transform. If we evaluate the system response (Laplace transform of the impulse response) at complex frequency
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Some of the most important properties of a system are causality and stability. Causality is a necessity for a physical system whose independent variable is time, however this restriction is not present in other cases such as image processing.
8282: 1763: 7347: 10822: 6470: 8045: 11462: 2801:{\displaystyle O_{t}\left\{\int \limits _{-\infty }^{\infty }c_{\tau }\ x_{\tau }(u)\,\mathrm {d} \tau ;\ u\right\}=\int \limits _{-\infty }^{\infty }c_{\tau }\ \underbrace {y_{\tau }(t)} _{O_{t}\{x_{\tau }\}}\,\mathrm {d} \tau .} 9027: 3507:{\displaystyle {\begin{aligned}(x*h)(t)&=\int _{-\infty }^{\infty }x(\tau )\cdot h(t-\tau )\,\mathrm {d} \tau \\&=\int _{-\infty }^{\infty }x(\tau )\cdot O_{t}\{\delta (u-\tau );\ u\}\,\mathrm {d} \tau ,\,\end{aligned}}} 4222: 3209: 6479: 6379: 5867:
Due to the convolution property of both of these transforms, the convolution that gives the output of the system can be transformed to a multiplication in the transform domain, given signals for which the transforms exist
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The Fourier transform is used for analyzing systems that process signals that are infinite in extent, such as modulated sinusoids, even though it cannot be directly applied to input and output signals that are not
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is not BIBO stable, because the sinc function does not have a finite L norm. Thus, for some bounded input, the output of the ideal low-pass filter is unbounded. In particular, if the input is zero for
12028: 3307: 6056:{\displaystyle y(t)=(h*x)(t)\mathrel {\stackrel {\text{def}}{=}} \int _{-\infty }^{\infty }h(t-\tau )x(\tau )\,\mathrm {d} \tau \mathrel {\stackrel {\text{def}}{=}} {\mathcal {L}}^{-1}\{H(s)X(s)\}.} 10081: 9996: 9586:{\displaystyle {\begin{aligned}y=O_{n}\{x\}&=O_{n}\left\{\sum _{k=-\infty }^{\infty }x\cdot \delta ;\ m\right\}\\&=\sum _{k=-\infty }^{\infty }x\cdot O_{n}\{\delta ;\ m\},\,\end{aligned}}} 10569: 10559: 4611: 12609: 12150: 11206: 9717: 9353: 9032: 7049: 6597: 2837: 6125: 5765: 12911:
A discrete-time LTI system is causal if the current value of the output depends on only the current value and past values of the input. A necessary and sufficient condition for causality is
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are a sum of complex exponentials with complex-conjugate frequencies, if the input to the system is a sinusoid, then the output of the system will also be a sinusoid, perhaps with a different
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Due to the convolution property of both of these transforms, the convolution that gives the output of the system can be transformed to a multiplication in the transform domain. That is,
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Like the one-sided Laplace transform, the Z transform is usually used in the context of one-sided signals, i.e. signals that are zero for t<0. The discrete-time Fourier transform
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which removes frequencies above the "folding frequency" 1/(2T); this guarantees that no information in the filtered signal will be lost. Without filtering, any frequency component
2978:{\displaystyle {\begin{aligned}O_{t}\{x(u-\tau );\ u\}&\mathrel {\stackrel {\quad }{=}} y(t-\tau )\\&\mathrel {\stackrel {\text{def}}{=}} O_{t-\tau }\{x\}.\,\end{aligned}}} 12962: 1855: 12847:{\displaystyle {\begin{aligned}{\mathcal {A}}\left\{x\right\}&=\sum _{k=n-a}^{n+a}x\\&=\sum _{k'=(n-m)-a}^{(n-m)+a}x\\&={\mathcal {A}}\left\{x\right\},\end{aligned}}} 11466:
Just as with the Laplace transform transfer function in continuous-time system analysis, the Z transform makes it easier to analyze systems and gain insight into their behavior.
10733: 6392: 4747: 4055: 4938: 11939: 10356: 10316: 5446: 1133: 11274: 7947: 3562: 2160: 740: 691: 11301: 11135: 7310: 11044: 10288: 9875:{\displaystyle {\begin{aligned}O_{n}\{\delta ;\ m\}&\mathrel {\stackrel {\quad }{=}} O_{n-k}\{\delta ;\ m\}\\&\mathrel {\stackrel {\text{def}}{=}} h.\end{aligned}}} 9698: 5628: 5125: 1573: 4115: 5826: 5202: 1396: 1327: 1240: 253:; these terms are briefly defined in the overview below. These properties apply (exactly or approximately) to many important physical systems, in which case the response 8714: 8494: 8080: 3132: 827: 642: 608: 8364: 7604:{\displaystyle \Pi (t)\mathrel {\stackrel {\text{def}}{=}} {\begin{cases}1&{\text{if }}|t|<{\frac {1}{2}},\\0&{\text{if }}|t|>{\frac {1}{2}}.\end{cases}}} 4149: 2305: 10232: 3978: 10460: 9641: 7342: 4842: 4780: 4021: 2195: 8551: 8148: 8118: 1945: 1685: 973: 938: 13367: 11099: 10856: 10123: 9340: 9220: 8522: 8447: 2014: 1913: 1354: 1267: 574: 542: 11235: 10889: 8197: 7938: 7909: 7880: 7715: 5794: 4879: 4809: 4144: 1072: 1043: 1010: 903: 874: 792: 490: 461: 10905: 5335: 2334: 8723: 5590:{\displaystyle H(s)\mathrel {\stackrel {\text{def}}{=}} {\mathcal {L}}\{h(t)\}\mathrel {\stackrel {\text{def}}{=}} \int _{0}^{\infty }h(t)e^{-st}\,\mathrm {d} t} 3892: 2454: 2360: 2261: 2235: 2034: 1436:
LTI system theory is good at describing many important systems. Most LTI systems are considered "easy" to analyze, at least compared to the time-varying and/or
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is the impulse response. It is not possible in general to determine causality from the Z transform, because the inverse transform is not unique. When a
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to a different frequency (thus distorting the original signal), since a DT signal can only support frequency components lower than the folding frequency.
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and ∗ represents convolution (not to be confused with multiplication). What's more, there are systematic methods for solving any such system (determining
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is exactly the way to get the eigenvalues from the impulse response. Of particular interest are pure sinusoids (i.e., exponential functions of the form
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A system is causal if the output depends only on present and past, but not future inputs. A necessary and sufficient condition for causality is
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is exactly the way to get the eigenvalues from the impulse response. Of particular interest are pure sinusoids; i.e. exponentials of the form
1433:, but always with the same frequency upon reaching steady-state. LTI systems cannot produce frequency components that are not in the input. 13617: 8996:{\displaystyle O_{n}\left\{\sum _{k=-\infty }^{\infty }c_{k}\cdot x_{k};\ m\right\}=\sum _{k=-\infty }^{\infty }c_{k}\cdot O_{n}\{x_{k}\}.} 10494: 979:
The fundamental result in LTI system theory is that any LTI system can be characterized entirely by a single function called the system's
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changes, the weighting function emphasizes different parts of the input function. Equivalently, the system's response to an impulse at
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system. Similarly, a discrete-time linear time-invariant (or, more generally, "shift-invariant") system is defined as one operating in
1670:{\displaystyle \mathrel {\stackrel {\mathrm {def} }{=}} \int \limits _{-\infty }^{\infty }x(t-\tau )\cdot h(\tau )\,\mathrm {d} \tau } 11798:{\displaystyle D\left(c_{1}\cdot x_{1}+c_{2}\cdot x_{2}\right)=c_{1}\cdot x_{1}+c_{2}\cdot x_{2}=c_{1}\cdot Dx_{1}+c_{2}\cdot Dx_{2}} 7799: 7746: 355:, where the systems have spatial dimensions instead of, or in addition to, a temporal dimension. These systems may be referred to as 5340: 3902:, combined in the same way. And the time-invariance property allows that combination to be represented by the convolution integral. 11479: 8369: 7638: 13068: 13018: 10172: 3920: 8553:
In general, every element of the output can depend on every element of the input. Representing the transformation operator by
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The eigenfunction property of exponentials is very useful for both analysis and insight into LTI systems. The one-sided
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When the Laplace transform of the derivative is taken, it transforms to a simple multiplication by the Laplace variable
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The Laplace transform is usually used in the context of one-sided signals, i.e. signals that are zero for all values of
5710: 13736: 13716: 13726: 13399: 3219: 975:. Hence, the system is time invariant because the output does not depend on the particular time the input is applied. 79: 57: 10361: 2362:. And in general, every value of the output can depend on every value of the input. This concept is represented by: 103:
and time invariance for a deterministic continuous-time single-input single-output system. The system satisfies the
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The input-output characteristics of discrete-time LTI system are completely described by its impulse response
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The eigenfunction property of exponentials is very useful for both analysis and insight into LTI systems. The
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is a function for which the output of the operator is the same function, scaled by some constant. In symbols,
408: 6098:. The relative phase shift between the output and input for that frequency component is likewise given by arg( 5230: 13741: 11049: 10723:{\displaystyle \sum _{m=-\infty }^{\infty }h\,z^{(n-m)}=z^{n}\sum _{m=-\infty }^{\infty }h\,z^{-m}=z^{n}H(z)} 5633: 4701:{\displaystyle H(s)\mathrel {\stackrel {\text{def}}{=}} \int _{-\infty }^{\infty }h(t)e^{-st}\,\mathrm {d} t} 7743:(BIBO stable) if, for every bounded input, the output is finite. Mathematically, if every input satisfying 5012: 13691: – Gives an intuitive explanation of the source of phase shift in two common electrical LTI systems. 13312:{\displaystyle \|h\|_{1}\mathrel {\stackrel {\text{def}}{=}} \sum _{n=-\infty }^{\infty }|h|<\infty .} 8204: 7718: 5861: 5849: 4718: 4026: 1816: 17: 13694: 12135:{\displaystyle {\mathcal {A}}\left\{x\right\}\mathrel {\stackrel {\text{def}}{=}} \sum _{k=n-a}^{n+a}x.} 4895: 3894:, can be represented by a continuum of time-shifted impulse functions, combined "linearly", as shown at 13731: 11810: 10333: 10293: 5418: 1085: 3917:
is a function for which the output of the operator is a scaled version of the same function. That is,
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That the derivative has such a simple Laplace transform partly explains the utility of the transform.
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In practical systems, DT signals obtained are usually uniformly sampled versions of CT signals. If
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It is also possible to directly derive complex exponentials as eigenfunctions of LTI systems.
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A linear system that is not time-invariant can be solved using other approaches such as the
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and the convolution, in discrete time, uses a discrete summation rather than an integral.
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of an LTI system because the system response is the same as the input times the constant
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Almost everything in continuous-time systems has a counterpart in discrete-time systems.
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To understand why the convolution produces the output of an LTI system, let the notation
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is the impulse response. It is not possible in general to determine causality from the
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changes, the weighting function emphasizes different parts of the input function. When
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are finite), then the system is stable. A necessary and sufficient condition is that
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can therefore be interpreted as proportional to a weighted average of the function
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The behavior of a linear, continuous-time, time-invariant system with input signal
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that produces an output signal from any input signal subject to the constraints of
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So the system's response is a scaled version of the input. In particular, for any
4217:{\displaystyle \int _{-\infty }^{\infty }h(t-\tau )Ae^{s\tau }\,\mathrm {d} \tau } 3204:{\displaystyle \mathrel {\stackrel {\text{def}}{=}} O_{t-\tau }\{\delta (u);\ u\}} 13555: 13475: 8200: 8150:, then the output will be unbounded for all times other than the zero crossings. 8086: 7313: 1075: 364: 226: 13006: 11292: 10327: 7734: 4066: 1196: 388: 13685: – Short primer on the mathematical analysis of (electrical) LTI systems. 13497: 3083:{\textstyle h(t)\mathrel {\stackrel {\text{def}}{=}} O_{t}\{\delta (u);\ u\}.} 13710: 13116: 12906: 10859: 10319: 10166: 10154: 8090: 7850: 7630: 4845: 4058: 3914: 2106: 1430: 1192: 1079: 384: 360: 96: 11004:{\displaystyle H(z)={\mathcal {Z}}\{h\}=\sum _{n=-\infty }^{\infty }hz^{-n}} 7911:), then the system is stable. A necessary and sufficient condition is that 8798:{\displaystyle h\mathrel {\stackrel {\text{def}}{=}} O_{n}\{\delta ;\ m\}.} 6374:{\displaystyle {\frac {\mathrm {d} }{\mathrm {d} t}}x(t-\tau )=x'(t-\tau )} 1444:
with constant coefficients is an LTI system. Examples of such systems are
13697:. An encapsulated course on LTI system theory. Adequate for self teaching. 843:
seconds from now, the output will be identical except for a time delay of
13326: 13115:(that is, if bounded input implies bounded output, in the sense that the 10900: 10564: 4225: 2565:, the output function is just constant, and the system is uninteresting. 1465: 1184: 1013: 276: 10145:=0 is a "time" reversed copy of the unshifted weighting function. When 8292:. Before sampling, the input signal is normally run through a so-called 4069:
operator. A simple proof illustrates this concept. Suppose the input is
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to give the terminology the most general reach. In the case of generic
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as input will give a complex exponential of same frequency as output.
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The mathematical operations above have a simple graphical simulation.
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is therefore proportional to a weighted average of the input function
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The Z transform of the delay operator is a simple multiplication by
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which is equivalent to the following by the commutative property of
2422:{\displaystyle y(t)\mathrel {\stackrel {\text{def}}{=}} O_{t}\{x\},} 9307:{\displaystyle x\equiv \sum _{k=-\infty }^{\infty }x\cdot \delta ,} 8305: 7941: 1453: 1449: 341: 333: 10098:
which is the familiar discrete convolution formula. The operator
7721:. However, when working in the time domain, one normally uses the 5697:{\displaystyle j\mathrel {\stackrel {\text{def}}{=}} {\sqrt {-1}}} 8633:{\displaystyle y\mathrel {\stackrel {\text{def}}{=}} O_{n}\{x\}.} 1289:, the output will be some complex constant times the input, say 10323: 4062: 242: 2307:. Then a continuous-time system transforms an input function, 1202:. This is, if the input to a system is the complex waveform 11541:{\displaystyle D\{x\}\mathrel {\stackrel {\text{def}}{=}} x} 8414:{\displaystyle \{x;{\text{ for all integer values of }}m\}.} 492:, both being regarded as functions, is a linear mapping: If 12023:{\displaystyle {\mathcal {Z}}\left\{Dx\right\}=z^{-1}X(z).} 7597: 371:
is the corresponding term. LTI system theory is an area of
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A simple example of an LTI operator is the delay operator
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even when Fourier transforms of the signals do not exist.
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gives the eigenvalues for pure complex sinusoids. Both of
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means that whether we apply an input to the system now or
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Mathematical model which is both linear and time-invariant
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Substituting this result into the convolution integral:
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Another simple LTI operator is the averaging operator
10076:{\displaystyle =\sum _{k=-\infty }^{\infty }x\cdot h,} 3874: 3570: 3528: 3011: 2574: 2551: 2531: 2511: 2482: 2462: 2435: 2342: 2313: 2269: 2243: 2223: 2203: 2168: 2118: 2091: 2071: 2042: 2022: 1993: 1973: 1953: 1921: 1892: 1863: 1819: 1786: 1154: 13339: 13212: 13183: 13154: 13125: 13071: 13021: 12970: 12917: 12870: 12607: 12148: 12038: 11956: 11813: 11556: 11482: 11304: 11243: 11214: 11147: 11107: 11080: 11052: 11019: 10908: 10868: 10837: 10736: 10572: 10497: 10468: 10426: 10364: 10336: 10296: 10250: 10220: 10175: 10104: 10009: 9991:{\displaystyle =\sum _{k=-\infty }^{\infty }x\cdot h} 9927: 9897: 9715: 9649: 9607: 9351: 9322: 9228: 9202: 9030: 8838: 8813: 8726: 8675: 8579: 8559: 8530: 8504: 8455: 8429: 8372: 8322: 8311: 8213: 8176: 8130: 8100: 8059: 7950: 7917: 7888: 7859: 7802: 7749: 7694: 7641: 7475: 7350: 7321: 7294: 7047: 6595: 6482: 6476:
Another simple LTI operator is an averaging operator
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Linear time-invariant system theory is also used in
11201:{\displaystyle H(e^{j\omega })={\mathcal {F}}\{h\}} 10160: 8642:Note that unless the transform itself changes with 1491: 829:. The latter condition is often referred to as the 13361: 13311: 13198: 13169: 13140: 13105: 13055: 12985: 12956: 12885: 12846: 12593: 12134: 12022: 11933: 11797: 11540: 11456: 11268: 11229: 11208:gives the eigenvalues of pure sinusoids. Both of 11200: 11129: 11093: 11066: 11038: 11003: 10883: 10850: 10816: 10722: 10553: 10483: 10454: 10409: 10350: 10310: 10282: 10226: 10200: 10117: 10075: 9990: 9912: 9874: 9692: 9635: 9585: 9334: 9306: 9214: 9172: 8995: 8819: 8797: 8708: 8632: 8565: 8545: 8516: 8488: 8441: 8413: 8358: 8276: 8191: 8162:Discrete-time systems from continuous-time systems 8142: 8112: 8074: 8039: 7932: 7903: 7874: 7839: 7786: 7709: 7678: 7603: 7461: 7336: 7304: 7280: 7033: 6581: 6464: 6373: 6291: 6055: 5820: 5788: 5760:{\displaystyle H(j\omega )={\mathcal {F}}\{h(t)\}} 5759: 5696: 5650: 5622: 5589: 5440: 5407: 5329: 5303: 5216: 5196: 5119: 5086: 4999: 4932: 4873: 4836: 4803: 4774: 4741: 4700: 4598: 4216: 4138: 4109: 4049: 4015: 3972: 3948: 3886: 3858: 3616: 3556: 3506: 3274: 3203: 3126: 3082: 2977: 2800: 2580: 2557: 2537: 2517: 2497: 2468: 2448: 2421: 2354: 2328: 2299: 2255: 2229: 2209: 2189: 2154: 2097: 2077: 2057: 2028: 2008: 1979: 1959: 1939: 1907: 1878: 1849: 1801: 1757: 1669: 1567: 1440:case. Any system that can be modeled as a linear 1410: 1390: 1348: 1321: 1281: 1261: 1234: 1127: 1066: 1037: 1004: 967: 932: 897: 868: 821: 786: 754: 734: 685: 636: 602: 568: 536: 504: 484: 455: 407:, and many other technical areas where systems of 10462:. The output of the system with impulse response 5451: 4117:. The output of the system with impulse response 3908: 1195:, and the basis functions of the transforms, are 13708: 13638: 13572: 12997:is specified, then causality can be determined. 12859: 8498:A discrete system transforms an input sequence, 4749:, the system output is the product of the input 9342:in terms of a sum of weighted delta functions. 7840:{\displaystyle \ \|y(t)\|_{\infty }<\infty } 7787:{\displaystyle \ \|x(t)\|_{\infty }<\infty } 3275:{\displaystyle =O_{t}\{\delta (u-\tau );\ u\}.} 13534: 10410:{\displaystyle z=e^{sT},\ z,s\in \mathbb {C} } 7615: 5408:{\displaystyle H(\tau )=e^{i\omega \tau }H(0)} 434:means that the relationship between the input 419:The defining properties of any LTI system are 1169:LTI systems can also be characterized in the 847:seconds. That is, if the output due to input 13695:JHU 520.214 Signals and Systems course notes 13526:: CS1 maint: multiple names: authors list ( 13229: 13213: 13088: 13072: 13038: 13022: 11913: 11907: 11838: 11817: 11501: 11486: 11448: 11421: 11295:may be used for analyzing periodic signals. 11195: 11180: 10946: 10931: 10417:. A simple proof illustrates this concept. 9821: 9797: 9760: 9730: 9572: 9542: 9387: 9381: 9329: 9323: 9209: 9203: 9159: 9153: 9075: 9045: 8987: 8974: 8789: 8765: 8624: 8618: 8537: 8531: 8511: 8505: 8480: 8456: 8436: 8430: 8405: 8373: 8353: 8323: 7967: 7951: 7822: 7806: 7769: 7753: 7253: 7247: 7021: 6999: 6976: 6954: 6671: 6607: 6047: 6020: 5754: 5739: 5516: 5501: 3881: 3875: 3484: 3454: 3266: 3236: 3198: 3174: 3074: 3050: 2964: 2958: 2880: 2850: 2781: 2768: 2413: 2407: 2349: 2343: 2320: 2314: 2294: 2270: 2250: 2244: 2149: 2119: 1512:) is described by the convolution integral: 13553: 7882:implies a finite maximum absolute value of 7679:{\displaystyle h(t)=0\quad \forall t<0,} 6116:A simple example of an LTI operator is the 3617:{\textstyle x_{\tau }(u)=\delta (u-\tau ).} 2545:. Unless the transform itself changes with 13683:ECE 209: Review of Circuits as LTI Systems 13639:Vaidyanathan, P. P.; Chen, T. (May 1995). 13573:Vaidyanathan, P. P.; Chen, T. (May 1995). 13383: 13106:{\displaystyle \|y\|_{\infty }<\infty } 13056:{\displaystyle \|x\|_{\infty }<\infty } 10201:{\displaystyle {\mathcal {H}}f=\lambda f,} 6094:)| which is the system gain for frequency 5094:by linearity with respect to the constant 5000:{\displaystyle v_{a}(t)=e^{i\omega (t+a)}} 3949:{\displaystyle {\mathcal {H}}f=\lambda f,} 1486: 11060: 10681: 10609: 10540: 10403: 10344: 10304: 9578: 9165: 8267: 8259: 8019: 7447: 7312:can be written as a convolution with the 7221: 7139: 6918: 6850: 6775: 6567: 5978: 5644: 5578: 4735: 4689: 4482: 4465: 4400: 4367: 4302: 4273: 4205: 4043: 3851: 3739: 3499: 3487: 3392: 2970: 2786: 2671: 1743: 1658: 80:Learn how and when to remove this message 9196:In such a system, the impulse response, 9019:And the time-invariance requirement is: 8654:depends most heavily on the elements of 8153: 5304:{\displaystyle H(t+a)=e^{i\omega a}H(t)} 4848:of an LTI system, and the corresponding 3516:which has the form of the right side of 2824:And the time-invariance requirement is: 2456:is the transformation operator for time 1472:systems, it is often useful to consider 1153: 512:is a constant then the system output to 91: 43:This article includes a list of general 13554:Crutchfield, Steve (October 12, 2010), 11067:{\displaystyle \omega \in \mathbb {R} } 5651:{\displaystyle \omega \in \mathbb {R} } 14: 13709: 13701:LTI system example: RC low-pass filter 13389: 10895:Z and discrete-time Fourier transforms 5087:{\displaystyle H(t)=e^{i\omega a}H(t)} 4224:which, by the commutative property of 2505:depends most heavily on the values of 1398:is the transfer function at frequency 610:is a further input with system output 377:electrical circuit analysis and design 13622:A Course in Digital Signal Processing 13616: 8399: for all integer values of  1183:of the system's impulse response (or 107:and is time-invariant if and only if 13013:bounded input, bounded output stable 12957:{\displaystyle h=0\ \forall n<0,} 9021: 8829: 7741:bounded-input, bounded-output stable 7041:it is linear. Additionally, because 2826: 2596: 1850:{\textstyle x(\tau )=\delta (\tau )} 264:of the system to an arbitrary input 29: 11941:  (i.e., it is time invariant) 10824:is dependent only on the parameter 6381:  (i.e., it is time invariant) 4742:{\displaystyle A,s\in \mathbb {C} } 4708:is dependent only on the parameter 4050:{\displaystyle A,s\in \mathbb {C} } 3001:In this notation, we can write the 1045:with the system's impulse response 742:, this applying for all choices of 24: 13609: 13498:Phillips, C.L., Parr, J.M., & 13303: 13273: 13268: 13206:, the impulse response, satisfies 13100: 13092: 13050: 13042: 12939: 12806: 12614: 12550: 12501: 12155: 12142:Because of the linearity of sums, 12041: 11959: 11407: 11366: 11361: 11175: 10971: 10966: 10926: 10784: 10779: 10664: 10659: 10592: 10587: 10517: 10512: 10178: 10032: 10027: 9950: 9945: 9512: 9507: 9431: 9426: 9263: 9258: 8946: 8941: 8873: 8868: 8256: 8207:will transform it to a DT signal: 8031: 8021: 7992: 7987: 7834: 7826: 7781: 7773: 7661: 7476: 7449: 7401: 7396: 7391: 7353: 7322: 7297: 7242: 7223: 7141: 7054: 6994: 6949: 6920: 6852: 6777: 6602: 6569: 6485: 6417: 6411: 6398: 6317: 6311: 6138: 6132: 6006: 5980: 5943: 5938: 5734: 5580: 5545: 5496: 4933:{\displaystyle v(t)=e^{i\omega t}} 4691: 4656: 4651: 4484: 4448: 4443: 4402: 4350: 4345: 4320: 4304: 4256: 4251: 4207: 4166: 4161: 3926: 3741: 3701: 3696: 3489: 3424: 3419: 3394: 3354: 3349: 2788: 2710: 2705: 2673: 2634: 2629: 1745: 1705: 1700: 1660: 1620: 1615: 1599: 1596: 1593: 49:it lacks sufficient corresponding 25: 13753: 13676: 11934:{\displaystyle D\{x\}=x=x=D\{x\}} 10351:{\displaystyle T\in \mathbb {R} } 10311:{\displaystyle n\in \mathbb {Z} } 8089:with impulse response equal to a 6589:By the linearity of integration, 5441:{\displaystyle e^{i\omega \tau }} 1128:{\displaystyle y_{i}=x_{i}*h_{i}} 644:then the output of the system to 375:which has direct applications in 229:, among other fields of study, a 11074:. These can also be written as 8312:Impulse response and convolution 8053:must contain the imaginary axis 5415:i.e. that a complex exponential 3868:In summary, the input function, 1492:Impulse response and convolution 34: 13703:. Amplitude and phase response. 13689:ECE 209: Sources of Phase Shift 13504:Signals, systems and Transforms 11269:{\displaystyle H(e^{j\omega })} 11139:discrete-time Fourier transform 9776: 9091: 8255: 8120:and equal to a sinusoid at the 7660: 7288:it is time invariant. In fact, 4884: 3631:then allows this continuation: 3557:{\textstyle c_{\tau }=x(\tau )} 2896: 2237:. And let the shorter notation 2155:{\textstyle \{x(u-\tau );\ u\}} 2105:, and the system is said to be 1809:is the system's response to an 1329:for some new complex amplitude 905:, then the output due to input 409:ordinary differential equations 13539:. Princeton university press. 13441: 13429: 13417: 13408: 13349: 13341: 13296: 13292: 13286: 13279: 13225: 13219: 13193: 13187: 13164: 13158: 13135: 13129: 13084: 13078: 13034: 13028: 13000: 12980: 12974: 12927: 12921: 12900: 12880: 12874: 12834: 12822: 12791: 12780: 12766: 12754: 12743: 12731: 12702: 12690: 12639: 12627: 12601:and so it is linear. Because, 12576: 12570: 12527: 12521: 12476: 12470: 12411: 12405: 12334: 12328: 12302: 12296: 12223: 12217: 12191: 12185: 12126: 12120: 12060: 12054: 12014: 12008: 11981: 11975: 11928: 11916: 11898: 11889: 11877: 11874: 11865: 11847: 11835: 11823: 11792: 11786: 11754: 11748: 11716: 11704: 11675: 11663: 11629: 11623: 11594: 11588: 11535: 11523: 11498: 11492: 11445: 11439: 11433: 11427: 11398: 11392: 11386: 11374: 11341: 11335: 11332: 11320: 11314: 11308: 11263: 11247: 11224: 11218: 11192: 11186: 11167: 11151: 11130:{\displaystyle z=e^{j\omega }} 10985: 10979: 10943: 10937: 10918: 10912: 10878: 10872: 10798: 10792: 10746: 10740: 10717: 10711: 10678: 10672: 10627: 10615: 10606: 10600: 10537: 10525: 10478: 10472: 10436: 10430: 10358:is the sampling interval, and 10161:Exponentials as eigenfunctions 10084:      10067: 10061: 10052: 10040: 9985: 9973: 9964: 9958: 9907: 9901: 9862: 9850: 9809: 9803: 9748: 9736: 9705: 9687: 9675: 9666: 9660: 9630: 9624: 9597: 9560: 9548: 9526: 9520: 9466: 9454: 9445: 9439: 9365: 9359: 9298: 9286: 9277: 9271: 9238: 9232: 9186: 9111: 9099: 9063: 9051: 9009: 8907: 8901: 8777: 8771: 8736: 8730: 8700: 8694: 8685: 8679: 8589: 8583: 8468: 8462: 8391: 8379: 8341: 8329: 8252: 8243: 8186: 8180: 8015: 8011: 8005: 7998: 7963: 7957: 7940:, the impulse response, is in 7927: 7921: 7898: 7892: 7869: 7863: 7818: 7812: 7796:leads to an output satisfying 7765: 7759: 7704: 7698: 7651: 7645: 7574: 7566: 7531: 7523: 7485: 7479: 7444: 7438: 7372: 7366: 7331: 7325: 7305:{\displaystyle {\mathcal {A}}} 7268: 7256: 7218: 7212: 7198: 7186: 7175: 7163: 7136: 7124: 7079: 7067: 7018: 7012: 6973: 6967: 6915: 6909: 6847: 6841: 6772: 6769: 6763: 6737: 6731: 6708: 6668: 6662: 6636: 6630: 6564: 6558: 6504: 6498: 6459: 6453: 6436: 6430: 6368: 6356: 6342: 6330: 6286: 6280: 6251: 6245: 6211: 6205: 6179: 6173: 6044: 6038: 6032: 6026: 5975: 5969: 5963: 5951: 5911: 5905: 5902: 5890: 5884: 5878: 5815: 5806: 5783: 5777: 5751: 5745: 5726: 5717: 5559: 5553: 5513: 5507: 5475: 5469: 5452:Fourier and Laplace transforms 5402: 5396: 5393: 5387: 5362: 5356: 5353: 5347: 5298: 5292: 5289: 5283: 5258: 5246: 5243: 5237: 5191: 5179: 5176: 5170: 5161: 5155: 5152: 5139: 5081: 5075: 5072: 5066: 5041: 5035: 5032: 5019: 5007:a time-shifted version of it. 4992: 4980: 4963: 4957: 4908: 4902: 4868: 4862: 4798: 4792: 4670: 4664: 4624: 4618: 4563: 4557: 4462: 4456: 4364: 4358: 4297: 4285: 4270: 4264: 4186: 4174: 4133: 4127: 4085: 4079: 3909:Exponentials as eigenfunctions 3895: 3845: 3839: 3796: 3790: 3736: 3724: 3715: 3709: 3663: 3657: 3654: 3642: 3627: 3608: 3596: 3587: 3581: 3551: 3545: 3518: 3472: 3460: 3438: 3432: 3389: 3377: 3368: 3362: 3331: 3325: 3322: 3310: 3287: 3283:      3254: 3242: 3186: 3180: 3121: 3109: 3062: 3056: 3021: 3015: 2991: 2916: 2904: 2868: 2856: 2814: 2748: 2742: 2668: 2662: 2590: 2492: 2486: 2378: 2372: 2282: 2276: 2184: 2172: 2137: 2125: 2052: 2046: 2003: 1997: 1934: 1925: 1902: 1896: 1873: 1867: 1844: 1838: 1829: 1823: 1796: 1790: 1766:      1740: 1728: 1719: 1713: 1655: 1649: 1640: 1628: 1562: 1556: 1553: 1541: 1535: 1529: 1061: 1055: 1032: 1026: 999: 993: 962: 950: 927: 915: 892: 886: 863: 857: 816: 810: 781: 775: 729: 723: 709: 703: 680: 674: 660: 654: 631: 625: 597: 591: 563: 557: 531: 525: 479: 473: 450: 444: 13: 1: 13491: 13321:In the frequency domain, the 11469: 11039:{\displaystyle e^{j\omega n}} 10283:{\displaystyle z^{n}=e^{sTn}} 9693:{\displaystyle x_{k}=\delta } 8423:And let the shorter notation 8049:In the frequency domain, the 5623:{\displaystyle e^{j\omega t}} 5120:{\displaystyle e^{i\omega a}} 4940:some complex exponential and 1568:{\displaystyle y(t)=(x*h)(t)} 13394:. Springer. pp. 27–28. 10129:. The weighting function is 8665:For the special case of the 7728: 7624: 4110:{\displaystyle x(t)=Ae^{st}} 1915:. The weighting function is 983:. The output of the system 357:linear translation-invariant 275:can be found directly using 7: 13454: 12860:Important system properties 11805:  (i.e., it is linear) 10153:, the system is said to be 10133:, simply shifted by amount 8716:the output sequence is the 8205:analog-to-digital converter 7723:one-sided Laplace transform 7719:two-sided Laplace transform 7616:Important system properties 6299:  (i.e., it is linear) 6109: 5850:bilateral Laplace transform 5821:{\displaystyle H(j\omega )} 5197:{\displaystyle H(t)=H(t+a)} 1947:, simply shifted by amount 1391:{\displaystyle B_{s}/A_{s}} 1322:{\displaystyle B_{s}e^{st}} 1242:for some complex amplitude 1235:{\displaystyle A_{s}e^{st}} 1016:of the input to the system 414: 221:. Click image to expand it. 10: 13758: 13648:IEEE Trans. Signal Process 13582:IEEE Trans. Signal Process 13004: 12904: 12854:it is also time invariant. 8709:{\displaystyle x=\delta ,} 8489:{\displaystyle \{x;\ m\}.} 8300:the folding frequency (or 8075:{\displaystyle s=j\omega } 7732: 7725:which requires causality. 7628: 7469:where the boxcar function 3127:{\displaystyle h(t-\tau )} 2065:depends only on values of 735:{\displaystyle y(t)+y'(t)} 686:{\displaystyle x(t)+x'(t)} 13737:Frequency-domain analysis 13717:Digital signal processing 13390:Bessai, Horst J. (2005). 10214:is the eigenfunction and 10149:is zero for all negative 8524:into an output sequence, 8359:{\displaystyle \{x;\ m\}} 8199:is a CT signal, then the 8085:As an example, the ideal 3960:is the eigenfunction and 2336:into an output function, 2300:{\textstyle \{x(u);\ u\}} 2016:is zero for all negative 1191:For all LTI systems, the 1158:Relationship between the 173:, for all real constants 13727:Classical control theory 13624:. New York: John Wiley. 13560:Johns Hopkins University 13556:"The Joy of Convolution" 13392:MIMO Signals and Systems 13376: 10227:{\displaystyle \lambda } 8667:Kronecker delta function 8650:.) In a typical system, 3973:{\displaystyle \lambda } 2525:that occurred near time 13535:Hespanha, J.P. (2009). 13117:maximum absolute values 10455:{\displaystyle x=z^{n}} 9636:{\displaystyle c_{k}=x} 8658:whose indices are near 8366:represent the sequence 7944:(has a finite L norm): 7337:{\displaystyle \Pi (t)} 5862:Wiener–Khinchin theorem 4837:{\displaystyle Ae^{st}} 4775:{\displaystyle Ae^{st}} 4016:{\displaystyle Ae^{st}} 2476:. In a typical system, 2190:{\textstyle x(u-\tau )} 2162:represent the function 1487:Continuous-time systems 831:superposition principle 313:is called the system's 105:superposition principle 101:superposition principle 64:more precise citations. 13722:Electrical engineering 13447:Phillips 2007, p. 508. 13363: 13313: 13277: 13200: 13171: 13142: 13107: 13057: 12987: 12958: 12887: 12848: 12776: 12686: 12595: 12459: 12394: 12270: 12136: 12116: 12024: 11935: 11799: 11542: 11458: 11370: 11270: 11231: 11202: 11131: 11095: 11068: 11040: 11005: 10975: 10885: 10852: 10818: 10788: 10724: 10668: 10596: 10555: 10521: 10485: 10456: 10411: 10352: 10312: 10284: 10228: 10202: 10119: 10077: 10036: 9992: 9954: 9914: 9876: 9694: 9637: 9595:where we have invoked 9587: 9516: 9435: 9336: 9308: 9267: 9216: 9174: 8997: 8950: 8877: 8821: 8799: 8710: 8634: 8567: 8547: 8546:{\displaystyle \{y\}.} 8518: 8490: 8443: 8415: 8360: 8278: 8193: 8144: 8143:{\displaystyle t>0} 8114: 8113:{\displaystyle t<0} 8076: 8041: 7934: 7905: 7876: 7851:maximum absolute value 7841: 7788: 7711: 7680: 7605: 7463: 7338: 7306: 7282: 7035: 6583: 6466: 6375: 6293: 6057: 5822: 5790: 5761: 5698: 5652: 5624: 5591: 5442: 5409: 5331: 5305: 5218: 5204:by time invariance of 5198: 5121: 5088: 5001: 4934: 4875: 4838: 4805: 4776: 4743: 4702: 4600: 4218: 4140: 4111: 4051: 4017: 3974: 3950: 3888: 3860: 3618: 3558: 3508: 3276: 3205: 3128: 3084: 2979: 2802: 2714: 2638: 2582: 2559: 2539: 2519: 2499: 2470: 2450: 2423: 2356: 2330: 2301: 2257: 2231: 2211: 2191: 2156: 2099: 2079: 2059: 2030: 2010: 1981: 1961: 1941: 1940:{\textstyle h(-\tau )} 1909: 1880: 1851: 1803: 1759: 1709: 1671: 1624: 1569: 1412: 1392: 1350: 1323: 1283: 1269:and complex frequency 1263: 1236: 1166: 1129: 1068: 1039: 1006: 969: 968:{\displaystyle y(t-T)} 934: 933:{\displaystyle x(t-T)} 899: 870: 823: 788: 756: 736: 687: 638: 604: 570: 538: 506: 486: 457: 393:mechanical engineering 369:linear shift-invariant 222: 13414:Hespanha 2009, p. 78. 13364: 13362:{\displaystyle |z|=1} 13323:region of convergence 13314: 13254: 13201: 13172: 13143: 13108: 13058: 12995:region of convergence 12988: 12959: 12888: 12849: 12715: 12654: 12596: 12427: 12362: 12238: 12137: 12084: 12025: 11936: 11800: 11543: 11459: 11347: 11271: 11232: 11203: 11132: 11096: 11094:{\displaystyle z^{n}} 11069: 11041: 11006: 10952: 10886: 10853: 10851:{\displaystyle z^{n}} 10819: 10765: 10725: 10645: 10573: 10556: 10498: 10486: 10457: 10420:Suppose the input is 10412: 10353: 10313: 10285: 10243:exponential functions 10229: 10203: 10120: 10118:{\displaystyle O_{n}} 10078: 10013: 9993: 9931: 9915: 9877: 9695: 9638: 9588: 9493: 9412: 9337: 9335:{\displaystyle \{x\}} 9309: 9244: 9217: 9215:{\displaystyle \{h\}} 9175: 8998: 8927: 8854: 8822: 8807:For a linear system, 8800: 8711: 8635: 8568: 8548: 8519: 8517:{\displaystyle \{x\}} 8491: 8444: 8442:{\displaystyle \{x\}} 8416: 8361: 8279: 8194: 8154:Discrete-time systems 8145: 8115: 8077: 8051:region of convergence 8042: 7935: 7906: 7877: 7842: 7789: 7712: 7681: 7606: 7464: 7339: 7307: 7283: 7036: 6584: 6467: 6376: 6294: 6058: 5823: 5791: 5762: 5699: 5653: 5625: 5592: 5443: 5410: 5337:and renaming we get: 5332: 5306: 5219: 5199: 5122: 5089: 5002: 4935: 4876: 4839: 4806: 4777: 4744: 4703: 4601: 4219: 4141: 4112: 4052: 4018: 3989:exponential functions 3975: 3951: 3889: 3861: 3619: 3559: 3509: 3277: 3206: 3129: 3085: 2980: 2803: 2697: 2621: 2583: 2568:For a linear system, 2560: 2540: 2520: 2500: 2471: 2451: 2424: 2357: 2331: 2302: 2258: 2232: 2212: 2192: 2157: 2100: 2080: 2060: 2031: 2011: 2009:{\textstyle h(\tau )} 1982: 1962: 1942: 1910: 1908:{\textstyle x(\tau )} 1881: 1852: 1804: 1760: 1692: 1672: 1607: 1570: 1442:differential equation 1413: 1393: 1351: 1349:{\displaystyle B_{s}} 1324: 1284: 1264: 1262:{\displaystyle A_{s}} 1237: 1157: 1130: 1069: 1040: 1007: 970: 935: 900: 871: 824: 822:{\displaystyle x'(t)} 789: 757: 737: 688: 639: 637:{\displaystyle y'(t)} 605: 603:{\displaystyle x'(t)} 571: 569:{\displaystyle ay(t)} 539: 537:{\displaystyle ax(t)} 507: 487: 458: 401:measuring instruments 231:linear time-invariant 95: 13742:Time domain analysis 13537:Linear System Theory 13337: 13210: 13181: 13152: 13123: 13069: 13019: 12968: 12915: 12868: 12605: 12146: 12036: 11954: 11811: 11554: 11480: 11302: 11241: 11230:{\displaystyle H(z)} 11212: 11145: 11105: 11078: 11050: 11017: 10906: 10884:{\displaystyle H(z)} 10866: 10835: 10734: 10570: 10495: 10466: 10424: 10362: 10334: 10294: 10248: 10218: 10173: 10102: 10007: 9925: 9895: 9713: 9647: 9605: 9349: 9320: 9226: 9200: 9028: 8836: 8811: 8724: 8673: 8577: 8557: 8528: 8502: 8453: 8427: 8370: 8320: 8211: 8192:{\displaystyle x(t)} 8174: 8128: 8098: 8057: 7948: 7933:{\displaystyle h(t)} 7915: 7904:{\displaystyle y(t)} 7886: 7875:{\displaystyle x(t)} 7857: 7800: 7747: 7710:{\displaystyle h(t)} 7692: 7639: 7473: 7348: 7319: 7292: 7045: 6593: 6480: 6393: 6305: 6126: 5872: 5800: 5789:{\displaystyle H(s)} 5771: 5711: 5662: 5634: 5601: 5463: 5419: 5341: 5315: 5231: 5208: 5133: 5098: 5013: 4944: 4896: 4874:{\displaystyle H(s)} 4856: 4815: 4804:{\displaystyle H(s)} 4786: 4753: 4719: 4612: 4232: 4150: 4139:{\displaystyle h(t)} 4121: 4073: 4027: 3994: 3964: 3921: 3872: 3635: 3568: 3526: 3303: 3220: 3139: 3103: 3009: 2833: 2603: 2572: 2549: 2529: 2509: 2480: 2460: 2433: 2366: 2340: 2311: 2267: 2241: 2221: 2201: 2166: 2116: 2089: 2069: 2040: 2020: 1991: 1971: 1951: 1919: 1890: 1861: 1817: 1784: 1686: 1580: 1523: 1504:) and output signal 1402: 1360: 1333: 1293: 1273: 1246: 1206: 1086: 1067:{\displaystyle h(t)} 1049: 1038:{\displaystyle x(t)} 1020: 1005:{\displaystyle y(t)} 987: 944: 909: 898:{\displaystyle y(t)} 880: 869:{\displaystyle x(t)} 851: 799: 787:{\displaystyle x(t)} 769: 746: 697: 648: 614: 580: 548: 516: 496: 485:{\displaystyle y(t)} 467: 456:{\displaystyle x(t)} 438: 411:present themselves. 13660:1995ITSP...43.1090V 13594:1995ITSP...43.1090V 13435:Crutchfield, p. 1. 13423:Crutchfield, p. 1. 7996: 7849:(that is, a finite 7400: 7208: 7120: 6898: 6830: 6707: 6554: 6279: 6244: 5947: 5549: 5330:{\displaystyle t=0} 4660: 4452: 4354: 4260: 4228:, is equivalent to 4170: 3705: 3428: 3358: 2329:{\textstyle \{x\},} 1446:electrical circuits 1074:. This is called a 373:applied mathematics 196:and for all inputs 13466:Frequency response 13359: 13309: 13196: 13167: 13138: 13103: 13053: 12983: 12954: 12883: 12844: 12842: 12591: 12589: 12132: 12020: 11931: 11795: 11538: 11454: 11266: 11227: 11198: 11127: 11091: 11064: 11036: 11001: 10881: 10848: 10814: 10720: 10551: 10481: 10452: 10407: 10348: 10308: 10280: 10224: 10198: 10115: 10073: 9988: 9910: 9872: 9870: 9690: 9633: 9583: 9581: 9332: 9304: 9212: 9170: 9168: 8993: 8817: 8795: 8706: 8630: 8563: 8543: 8514: 8486: 8439: 8411: 8356: 8274: 8189: 8140: 8110: 8072: 8037: 7979: 7930: 7901: 7872: 7837: 7784: 7707: 7676: 7601: 7596: 7459: 7383: 7334: 7302: 7278: 7276: 7158: 7094: 7031: 7029: 6872: 6804: 6681: 6579: 6528: 6462: 6371: 6289: 6267: 6232: 6053: 5930: 5818: 5786: 5757: 5694: 5648: 5620: 5587: 5535: 5438: 5405: 5327: 5301: 5214: 5194: 5117: 5084: 4997: 4930: 4871: 4834: 4801: 4772: 4739: 4698: 4643: 4596: 4594: 4577: 4570: 4535: 4528: 4435: 4337: 4243: 4214: 4153: 4136: 4107: 4047: 4013: 3970: 3946: 3887:{\textstyle \{x\}} 3884: 3856: 3854: 3688: 3614: 3554: 3504: 3502: 3411: 3341: 3272: 3201: 3124: 3080: 2975: 2973: 2798: 2785: 2755: 2578: 2555: 2535: 2515: 2495: 2466: 2449:{\textstyle O_{t}} 2446: 2419: 2355:{\textstyle \{y\}} 2352: 2326: 2297: 2256:{\textstyle \{x\}} 2253: 2230:{\textstyle \tau } 2227: 2207: 2187: 2152: 2095: 2075: 2055: 2029:{\textstyle \tau } 2026: 2006: 1977: 1957: 1937: 1905: 1876: 1847: 1799: 1755: 1667: 1565: 1408: 1388: 1346: 1319: 1279: 1259: 1232: 1188:frequency domain. 1167: 1125: 1064: 1035: 1002: 965: 930: 895: 866: 819: 784: 752: 732: 683: 634: 600: 566: 534: 502: 482: 453: 330:electrical circuit 223: 13732:Signal processing 13668:10.1109/78.382395 13631:978-0-471-14961-3 13602:10.1109/78.382395 13546:978-0-691-14021-6 13513:978-0-13-041207-2 13506:. Prentice Hall. 13486:Signal-flow graph 13325:must contain the 13251: 13249: 13199:{\displaystyle h} 13170:{\displaystyle y} 13141:{\displaystyle x} 12986:{\displaystyle h} 12938: 12886:{\displaystyle h} 12081: 12079: 11517: 11515: 11286:transfer function 10762: 10760: 10484:{\displaystyle h} 10389: 10094: 10093: 9913:{\displaystyle y} 9844: 9842: 9817: 9778: 9756: 9568: 9474: 9194: 9193: 9134: 9132: 9093: 9071: 9017: 9016: 8915: 8820:{\displaystyle O} 8785: 8752: 8750: 8605: 8603: 8566:{\displaystyle O} 8476: 8400: 8349: 8302:Nyquist frequency 8237: 8235: 8122:cut-off frequency 7805: 7752: 7589: 7563: 7546: 7520: 7501: 7499: 7429: 6525: 6523: 6425: 6325: 6146: 6000: 5998: 5927: 5925: 5858:square integrable 5838:transfer function 5706:Fourier transform 5692: 5681: 5679: 5532: 5530: 5491: 5489: 5458:Laplace transform 5217:{\displaystyle H} 4782:and the constant 4640: 4638: 4608:where the scalar 4588: 4581: 4575: 4552: 4550: 4546: 4539: 4533: 4506: 4504: 4329: 4315: 3833: 3831: 3804: 3753: 3480: 3295: 3294: 3262: 3194: 3155: 3153: 3070: 3037: 3035: 2999: 2998: 2939: 2937: 2898: 2876: 2822: 2821: 2730: 2728: 2727: 2685: 2651: 2498:{\textstyle y(t)} 2394: 2392: 2290: 2145: 2058:{\textstyle y(t)} 1879:{\textstyle y(t)} 1802:{\textstyle h(t)} 1776: 1775: 1604: 1411:{\displaystyle s} 1282:{\displaystyle s} 1181:Laplace transform 1177:transfer function 755:{\displaystyle a} 505:{\displaystyle a} 381:signal processing 346:linear amplifiers 99:illustrating the 90: 89: 82: 16:(Redirected from 13749: 13671: 13645: 13635: 13605: 13579: 13569: 13568: 13566: 13550: 13531: 13525: 13517: 13471:Impulse response 13461:Circulant matrix 13448: 13445: 13439: 13433: 13427: 13421: 13415: 13412: 13406: 13405: 13387: 13368: 13366: 13365: 13360: 13352: 13344: 13318: 13316: 13315: 13310: 13299: 13282: 13276: 13271: 13253: 13252: 13250: 13247: 13245: 13240: 13237: 13236: 13205: 13203: 13202: 13197: 13176: 13174: 13173: 13168: 13147: 13145: 13144: 13139: 13112: 13110: 13109: 13104: 13096: 13095: 13062: 13060: 13059: 13054: 13046: 13045: 12992: 12990: 12989: 12984: 12963: 12961: 12960: 12955: 12936: 12892: 12890: 12889: 12884: 12853: 12851: 12850: 12845: 12843: 12821: 12810: 12809: 12797: 12790: 12775: 12752: 12727: 12708: 12685: 12674: 12646: 12642: 12618: 12617: 12600: 12598: 12597: 12592: 12590: 12583: 12579: 12569: 12568: 12554: 12553: 12547: 12546: 12534: 12530: 12520: 12519: 12505: 12504: 12498: 12497: 12482: 12469: 12468: 12458: 12447: 12426: 12425: 12404: 12403: 12393: 12382: 12361: 12360: 12345: 12341: 12337: 12327: 12326: 12317: 12316: 12295: 12294: 12285: 12284: 12269: 12258: 12230: 12226: 12216: 12215: 12206: 12205: 12184: 12183: 12174: 12173: 12159: 12158: 12141: 12139: 12138: 12133: 12115: 12104: 12083: 12082: 12080: 12077: 12075: 12070: 12067: 12063: 12045: 12044: 12029: 12027: 12026: 12021: 12004: 12003: 11988: 11984: 11963: 11962: 11940: 11938: 11937: 11932: 11804: 11802: 11801: 11796: 11785: 11784: 11769: 11768: 11747: 11746: 11731: 11730: 11703: 11702: 11690: 11689: 11662: 11661: 11649: 11648: 11636: 11632: 11622: 11621: 11609: 11608: 11587: 11586: 11574: 11573: 11547: 11545: 11544: 11539: 11519: 11518: 11516: 11513: 11511: 11506: 11463: 11461: 11460: 11455: 11420: 11419: 11411: 11410: 11369: 11364: 11275: 11273: 11272: 11267: 11262: 11261: 11236: 11234: 11233: 11228: 11207: 11205: 11204: 11199: 11179: 11178: 11166: 11165: 11136: 11134: 11133: 11128: 11126: 11125: 11100: 11098: 11097: 11092: 11090: 11089: 11073: 11071: 11070: 11065: 11063: 11045: 11043: 11042: 11037: 11035: 11034: 11010: 11008: 11007: 11002: 11000: 10999: 10974: 10969: 10930: 10929: 10890: 10888: 10887: 10882: 10857: 10855: 10854: 10849: 10847: 10846: 10823: 10821: 10820: 10815: 10813: 10812: 10787: 10782: 10764: 10763: 10761: 10758: 10756: 10751: 10729: 10727: 10726: 10721: 10707: 10706: 10694: 10693: 10667: 10662: 10644: 10643: 10631: 10630: 10595: 10590: 10560: 10558: 10557: 10552: 10550: 10549: 10520: 10515: 10490: 10488: 10487: 10482: 10461: 10459: 10458: 10453: 10451: 10450: 10416: 10414: 10413: 10408: 10406: 10387: 10383: 10382: 10357: 10355: 10354: 10349: 10347: 10317: 10315: 10314: 10309: 10307: 10289: 10287: 10286: 10281: 10279: 10278: 10260: 10259: 10233: 10231: 10230: 10225: 10207: 10205: 10204: 10199: 10182: 10181: 10124: 10122: 10121: 10116: 10114: 10113: 10085: 10082: 10080: 10079: 10074: 10035: 10030: 9997: 9995: 9994: 9989: 9953: 9948: 9919: 9917: 9916: 9911: 9889: 9888: 9881: 9879: 9878: 9873: 9871: 9846: 9845: 9843: 9840: 9838: 9833: 9827: 9815: 9796: 9795: 9780: 9779: 9777: 9774: 9769: 9754: 9729: 9728: 9709:, we may write: 9699: 9697: 9696: 9691: 9659: 9658: 9642: 9640: 9639: 9634: 9617: 9616: 9592: 9590: 9589: 9584: 9582: 9566: 9541: 9540: 9515: 9510: 9486: 9482: 9478: 9472: 9434: 9429: 9406: 9405: 9380: 9379: 9341: 9339: 9338: 9333: 9316:which expresses 9313: 9311: 9310: 9305: 9266: 9261: 9221: 9219: 9218: 9213: 9188: 9179: 9177: 9176: 9171: 9169: 9152: 9151: 9136: 9135: 9133: 9130: 9128: 9123: 9117: 9095: 9094: 9092: 9089: 9084: 9069: 9044: 9043: 9022: 9011: 9002: 9000: 8999: 8994: 8986: 8985: 8973: 8972: 8960: 8959: 8949: 8944: 8923: 8919: 8913: 8900: 8899: 8887: 8886: 8876: 8871: 8848: 8847: 8830: 8826: 8824: 8823: 8818: 8804: 8802: 8801: 8796: 8783: 8764: 8763: 8754: 8753: 8751: 8748: 8746: 8741: 8718:impulse response 8715: 8713: 8712: 8707: 8639: 8637: 8636: 8631: 8617: 8616: 8607: 8606: 8604: 8601: 8599: 8594: 8573:, we can write: 8572: 8570: 8569: 8564: 8552: 8550: 8549: 8544: 8523: 8521: 8520: 8515: 8495: 8493: 8492: 8487: 8474: 8448: 8446: 8445: 8440: 8420: 8418: 8417: 8412: 8401: 8398: 8365: 8363: 8362: 8357: 8347: 8283: 8281: 8280: 8275: 8270: 8239: 8238: 8236: 8233: 8231: 8226: 8223: 8222: 8201:sampling circuit 8198: 8196: 8195: 8190: 8149: 8147: 8146: 8141: 8119: 8117: 8116: 8111: 8081: 8079: 8078: 8073: 8046: 8044: 8043: 8038: 8024: 8018: 8001: 7995: 7990: 7975: 7974: 7939: 7937: 7936: 7931: 7910: 7908: 7907: 7902: 7881: 7879: 7878: 7873: 7846: 7844: 7843: 7838: 7830: 7829: 7803: 7793: 7791: 7790: 7785: 7777: 7776: 7750: 7716: 7714: 7713: 7708: 7685: 7683: 7682: 7677: 7610: 7608: 7607: 7602: 7600: 7599: 7590: 7582: 7577: 7569: 7564: 7561: 7547: 7539: 7534: 7526: 7521: 7518: 7503: 7502: 7500: 7497: 7495: 7490: 7468: 7466: 7465: 7460: 7452: 7434: 7430: 7428: 7420: 7409: 7399: 7394: 7379: 7375: 7357: 7356: 7343: 7341: 7340: 7335: 7311: 7309: 7308: 7303: 7301: 7300: 7287: 7285: 7284: 7279: 7277: 7246: 7245: 7233: 7226: 7207: 7184: 7151: 7144: 7119: 7108: 7086: 7082: 7058: 7057: 7040: 7038: 7037: 7032: 7030: 7011: 7010: 6998: 6997: 6991: 6990: 6966: 6965: 6953: 6952: 6946: 6945: 6930: 6923: 6908: 6907: 6897: 6886: 6871: 6870: 6855: 6840: 6839: 6829: 6818: 6803: 6802: 6787: 6780: 6762: 6761: 6752: 6751: 6730: 6729: 6720: 6719: 6706: 6695: 6661: 6660: 6651: 6650: 6629: 6628: 6619: 6618: 6606: 6605: 6588: 6586: 6585: 6580: 6572: 6553: 6542: 6527: 6526: 6524: 6521: 6519: 6514: 6511: 6507: 6489: 6488: 6471: 6469: 6468: 6463: 6443: 6439: 6426: 6424: 6420: 6414: 6409: 6402: 6401: 6380: 6378: 6377: 6372: 6355: 6326: 6324: 6320: 6314: 6309: 6298: 6296: 6295: 6290: 6275: 6266: 6265: 6240: 6231: 6230: 6218: 6214: 6204: 6203: 6194: 6193: 6172: 6171: 6162: 6161: 6147: 6145: 6141: 6135: 6130: 6085: 6075: 6062: 6060: 6059: 6054: 6019: 6018: 6010: 6009: 6002: 6001: 5999: 5996: 5994: 5989: 5983: 5946: 5941: 5929: 5928: 5926: 5923: 5921: 5916: 5827: 5825: 5824: 5819: 5795: 5793: 5792: 5787: 5766: 5764: 5763: 5758: 5738: 5737: 5703: 5701: 5700: 5695: 5693: 5685: 5683: 5682: 5680: 5677: 5675: 5670: 5657: 5655: 5654: 5649: 5647: 5629: 5627: 5626: 5621: 5619: 5618: 5596: 5594: 5593: 5588: 5583: 5577: 5576: 5548: 5543: 5534: 5533: 5531: 5528: 5526: 5521: 5500: 5499: 5493: 5492: 5490: 5487: 5485: 5480: 5447: 5445: 5444: 5439: 5437: 5436: 5414: 5412: 5411: 5406: 5383: 5382: 5336: 5334: 5333: 5328: 5310: 5308: 5307: 5302: 5279: 5278: 5223: 5221: 5220: 5215: 5203: 5201: 5200: 5195: 5151: 5150: 5126: 5124: 5123: 5118: 5116: 5115: 5093: 5091: 5090: 5085: 5062: 5061: 5031: 5030: 5006: 5004: 5003: 4998: 4996: 4995: 4956: 4955: 4939: 4937: 4936: 4931: 4929: 4928: 4880: 4878: 4877: 4872: 4843: 4841: 4840: 4835: 4833: 4832: 4810: 4808: 4807: 4802: 4781: 4779: 4778: 4773: 4771: 4770: 4748: 4746: 4745: 4740: 4738: 4707: 4705: 4704: 4699: 4694: 4688: 4687: 4659: 4654: 4642: 4641: 4639: 4636: 4634: 4629: 4605: 4603: 4602: 4597: 4595: 4587: 4582: 4576: 4573: 4571: 4566: 4549: 4547: 4545: 4540: 4534: 4531: 4529: 4524: 4523: 4522: 4503: 4501: 4494: 4487: 4481: 4480: 4451: 4446: 4434: 4433: 4412: 4405: 4399: 4398: 4383: 4382: 4353: 4348: 4328: 4324: 4323: 4316: 4311: 4307: 4301: 4300: 4259: 4254: 4241: 4239: 4223: 4221: 4220: 4215: 4210: 4204: 4203: 4169: 4164: 4145: 4143: 4142: 4137: 4116: 4114: 4113: 4108: 4106: 4105: 4056: 4054: 4053: 4048: 4046: 4022: 4020: 4019: 4014: 4012: 4011: 3979: 3977: 3976: 3971: 3955: 3953: 3952: 3947: 3930: 3929: 3897: 3893: 3891: 3890: 3885: 3865: 3863: 3862: 3857: 3855: 3835: 3834: 3832: 3829: 3827: 3822: 3816: 3812: 3808: 3802: 3781: 3780: 3765: 3761: 3757: 3751: 3744: 3704: 3699: 3682: 3681: 3623: 3621: 3620: 3615: 3580: 3579: 3563: 3561: 3560: 3555: 3538: 3537: 3513: 3511: 3510: 3505: 3503: 3492: 3478: 3453: 3452: 3427: 3422: 3404: 3397: 3357: 3352: 3284: 3281: 3279: 3278: 3273: 3260: 3235: 3234: 3210: 3208: 3207: 3202: 3192: 3173: 3172: 3157: 3156: 3154: 3151: 3149: 3144: 3133: 3131: 3130: 3125: 3097: 3096: 3089: 3087: 3086: 3081: 3068: 3049: 3048: 3039: 3038: 3036: 3033: 3031: 3026: 3003:impulse response 2993: 2984: 2982: 2981: 2976: 2974: 2957: 2956: 2941: 2940: 2938: 2935: 2933: 2928: 2922: 2900: 2899: 2897: 2894: 2889: 2874: 2849: 2848: 2827: 2816: 2807: 2805: 2804: 2799: 2791: 2784: 2780: 2779: 2767: 2766: 2756: 2751: 2741: 2740: 2725: 2724: 2723: 2713: 2708: 2693: 2689: 2683: 2676: 2661: 2660: 2649: 2648: 2647: 2637: 2632: 2615: 2614: 2597: 2587: 2585: 2584: 2579: 2564: 2562: 2561: 2556: 2544: 2542: 2541: 2536: 2524: 2522: 2521: 2516: 2504: 2502: 2501: 2496: 2475: 2473: 2472: 2467: 2455: 2453: 2452: 2447: 2445: 2444: 2428: 2426: 2425: 2420: 2406: 2405: 2396: 2395: 2393: 2390: 2388: 2383: 2361: 2359: 2358: 2353: 2335: 2333: 2332: 2327: 2306: 2304: 2303: 2298: 2288: 2262: 2260: 2259: 2254: 2236: 2234: 2233: 2228: 2216: 2214: 2213: 2208: 2196: 2194: 2193: 2188: 2161: 2159: 2158: 2153: 2143: 2104: 2102: 2101: 2096: 2084: 2082: 2081: 2076: 2064: 2062: 2061: 2056: 2035: 2033: 2032: 2027: 2015: 2013: 2012: 2007: 1986: 1984: 1983: 1978: 1966: 1964: 1963: 1958: 1946: 1944: 1943: 1938: 1914: 1912: 1911: 1906: 1885: 1883: 1882: 1877: 1856: 1854: 1853: 1848: 1808: 1806: 1805: 1800: 1767: 1764: 1762: 1761: 1756: 1748: 1708: 1703: 1676: 1674: 1673: 1668: 1663: 1623: 1618: 1606: 1605: 1603: 1602: 1590: 1585: 1574: 1572: 1571: 1566: 1517: 1516: 1429:and a different 1417: 1415: 1414: 1409: 1397: 1395: 1394: 1389: 1387: 1386: 1377: 1372: 1371: 1355: 1353: 1352: 1347: 1345: 1344: 1328: 1326: 1325: 1320: 1318: 1317: 1305: 1304: 1288: 1286: 1285: 1280: 1268: 1266: 1265: 1260: 1258: 1257: 1241: 1239: 1238: 1233: 1231: 1230: 1218: 1217: 1175:by the system's 1172:frequency domain 1164:frequency domain 1134: 1132: 1131: 1126: 1124: 1123: 1111: 1110: 1098: 1097: 1073: 1071: 1070: 1065: 1044: 1042: 1041: 1036: 1011: 1009: 1008: 1003: 981:impulse response 974: 972: 971: 966: 939: 937: 936: 931: 904: 902: 901: 896: 875: 873: 872: 867: 828: 826: 825: 820: 809: 793: 791: 790: 785: 761: 759: 758: 753: 741: 739: 738: 733: 722: 692: 690: 689: 684: 673: 643: 641: 640: 635: 624: 609: 607: 606: 601: 590: 575: 573: 572: 567: 543: 541: 540: 535: 511: 509: 508: 503: 491: 489: 488: 483: 462: 460: 459: 454: 405:NMR spectroscopy 399:, the design of 397:image processing 353:image processing 327: 315:impulse response 312: 301: 274: 263: 220: 195: 172: 168: 85: 78: 74: 71: 65: 60:this article by 51:inline citations 38: 37: 30: 21: 13757: 13756: 13752: 13751: 13750: 13748: 13747: 13746: 13707: 13706: 13679: 13674: 13643: 13632: 13612: 13610:Further reading 13577: 13564: 13562: 13547: 13519: 13518: 13514: 13494: 13476:System analysis 13457: 13452: 13451: 13446: 13442: 13434: 13430: 13422: 13418: 13413: 13409: 13402: 13388: 13384: 13379: 13348: 13340: 13338: 13335: 13334: 13295: 13278: 13272: 13258: 13246: 13241: 13239: 13238: 13232: 13228: 13211: 13208: 13207: 13182: 13179: 13178: 13153: 13150: 13149: 13124: 13121: 13120: 13091: 13087: 13070: 13067: 13066: 13041: 13037: 13020: 13017: 13016: 13009: 13003: 12969: 12966: 12965: 12916: 12913: 12912: 12909: 12903: 12869: 12866: 12865: 12862: 12857: 12841: 12840: 12811: 12805: 12804: 12795: 12794: 12783: 12753: 12720: 12719: 12706: 12705: 12675: 12658: 12647: 12623: 12619: 12613: 12612: 12608: 12606: 12603: 12602: 12588: 12587: 12564: 12560: 12559: 12555: 12549: 12548: 12542: 12538: 12515: 12511: 12510: 12506: 12500: 12499: 12493: 12489: 12480: 12479: 12464: 12460: 12448: 12431: 12421: 12417: 12399: 12395: 12383: 12366: 12356: 12352: 12343: 12342: 12322: 12318: 12312: 12308: 12290: 12286: 12280: 12276: 12275: 12271: 12259: 12242: 12231: 12211: 12207: 12201: 12197: 12179: 12175: 12169: 12165: 12164: 12160: 12154: 12153: 12149: 12147: 12144: 12143: 12105: 12088: 12076: 12071: 12069: 12068: 12050: 12046: 12040: 12039: 12037: 12034: 12033: 11996: 11992: 11968: 11964: 11958: 11957: 11955: 11952: 11951: 11812: 11809: 11808: 11780: 11776: 11764: 11760: 11742: 11738: 11726: 11722: 11698: 11694: 11685: 11681: 11657: 11653: 11644: 11640: 11617: 11613: 11604: 11600: 11582: 11578: 11569: 11565: 11564: 11560: 11555: 11552: 11551: 11512: 11507: 11505: 11504: 11481: 11478: 11477: 11472: 11412: 11406: 11405: 11404: 11365: 11351: 11303: 11300: 11299: 11282:system response 11278:system function 11276:are called the 11254: 11250: 11242: 11239: 11238: 11213: 11210: 11209: 11174: 11173: 11158: 11154: 11146: 11143: 11142: 11118: 11114: 11106: 11103: 11102: 11085: 11081: 11079: 11076: 11075: 11059: 11051: 11048: 11047: 11024: 11020: 11018: 11015: 11014: 10992: 10988: 10970: 10956: 10925: 10924: 10907: 10904: 10903: 10897: 10867: 10864: 10863: 10842: 10838: 10836: 10833: 10832: 10805: 10801: 10783: 10769: 10757: 10752: 10750: 10749: 10735: 10732: 10731: 10702: 10698: 10686: 10682: 10663: 10649: 10639: 10635: 10614: 10610: 10591: 10577: 10571: 10568: 10567: 10545: 10541: 10516: 10502: 10496: 10493: 10492: 10467: 10464: 10463: 10446: 10442: 10425: 10422: 10421: 10402: 10375: 10371: 10363: 10360: 10359: 10343: 10335: 10332: 10331: 10303: 10295: 10292: 10291: 10268: 10264: 10255: 10251: 10249: 10246: 10245: 10219: 10216: 10215: 10177: 10176: 10174: 10171: 10170: 10163: 10109: 10105: 10103: 10100: 10099: 10083: 10031: 10017: 10008: 10005: 10004: 9949: 9935: 9926: 9923: 9922: 9896: 9893: 9892: 9869: 9868: 9839: 9834: 9832: 9831: 9825: 9824: 9785: 9781: 9775: 9770: 9768: 9767: 9763: 9724: 9720: 9716: 9714: 9711: 9710: 9703:And because of 9654: 9650: 9648: 9645: 9644: 9612: 9608: 9606: 9603: 9602: 9580: 9579: 9536: 9532: 9511: 9497: 9484: 9483: 9430: 9416: 9411: 9407: 9401: 9397: 9390: 9375: 9371: 9352: 9350: 9347: 9346: 9321: 9318: 9317: 9262: 9248: 9227: 9224: 9223: 9201: 9198: 9197: 9167: 9166: 9141: 9137: 9129: 9124: 9122: 9121: 9115: 9114: 9090: 9085: 9083: 9082: 9078: 9039: 9035: 9031: 9029: 9026: 9025: 8981: 8977: 8968: 8964: 8955: 8951: 8945: 8931: 8895: 8891: 8882: 8878: 8872: 8858: 8853: 8849: 8843: 8839: 8837: 8834: 8833: 8812: 8809: 8808: 8759: 8755: 8747: 8742: 8740: 8739: 8725: 8722: 8721: 8674: 8671: 8670: 8612: 8608: 8600: 8595: 8593: 8592: 8578: 8575: 8574: 8558: 8555: 8554: 8529: 8526: 8525: 8503: 8500: 8499: 8454: 8451: 8450: 8428: 8425: 8424: 8397: 8371: 8368: 8367: 8321: 8318: 8317: 8314: 8290:sampling period 8266: 8232: 8227: 8225: 8224: 8218: 8214: 8212: 8209: 8208: 8203:used before an 8175: 8172: 8171: 8164: 8156: 8129: 8126: 8125: 8099: 8096: 8095: 8087:low-pass filter 8058: 8055: 8054: 8020: 8014: 7997: 7991: 7983: 7970: 7966: 7949: 7946: 7945: 7916: 7913: 7912: 7887: 7884: 7883: 7858: 7855: 7854: 7825: 7821: 7801: 7798: 7797: 7772: 7768: 7748: 7745: 7744: 7737: 7731: 7693: 7690: 7689: 7640: 7637: 7636: 7633: 7627: 7618: 7613: 7595: 7594: 7581: 7573: 7565: 7560: 7558: 7552: 7551: 7538: 7530: 7522: 7517: 7515: 7505: 7504: 7496: 7491: 7489: 7488: 7474: 7471: 7470: 7448: 7421: 7410: 7408: 7404: 7395: 7387: 7362: 7358: 7352: 7351: 7349: 7346: 7345: 7320: 7317: 7316: 7314:boxcar function 7296: 7295: 7293: 7290: 7289: 7275: 7274: 7241: 7240: 7231: 7230: 7222: 7185: 7162: 7149: 7148: 7140: 7109: 7098: 7087: 7063: 7059: 7053: 7052: 7048: 7046: 7043: 7042: 7028: 7027: 7006: 7002: 6993: 6992: 6986: 6982: 6961: 6957: 6948: 6947: 6941: 6937: 6928: 6927: 6919: 6903: 6899: 6887: 6876: 6866: 6862: 6851: 6835: 6831: 6819: 6808: 6798: 6794: 6785: 6784: 6776: 6757: 6753: 6747: 6743: 6725: 6721: 6715: 6711: 6696: 6685: 6674: 6656: 6652: 6646: 6642: 6624: 6620: 6614: 6610: 6601: 6600: 6596: 6594: 6591: 6590: 6568: 6543: 6532: 6520: 6515: 6513: 6512: 6494: 6490: 6484: 6483: 6481: 6478: 6477: 6416: 6415: 6410: 6408: 6407: 6403: 6397: 6396: 6394: 6391: 6390: 6348: 6316: 6315: 6310: 6308: 6306: 6303: 6302: 6271: 6261: 6257: 6236: 6226: 6222: 6199: 6195: 6189: 6185: 6167: 6163: 6157: 6153: 6152: 6148: 6137: 6136: 6131: 6129: 6127: 6124: 6123: 6112: 6077: 6067: 6011: 6005: 6004: 6003: 5995: 5990: 5988: 5987: 5979: 5942: 5934: 5922: 5917: 5915: 5914: 5873: 5870: 5869: 5834:system response 5830:system function 5828:are called the 5801: 5798: 5797: 5772: 5769: 5768: 5733: 5732: 5712: 5709: 5708: 5684: 5676: 5671: 5669: 5668: 5663: 5660: 5659: 5643: 5635: 5632: 5631: 5608: 5604: 5602: 5599: 5598: 5579: 5566: 5562: 5544: 5539: 5527: 5522: 5520: 5519: 5495: 5494: 5486: 5481: 5479: 5478: 5464: 5461: 5460: 5454: 5426: 5422: 5420: 5417: 5416: 5372: 5368: 5342: 5339: 5338: 5316: 5313: 5312: 5268: 5264: 5232: 5229: 5228: 5209: 5206: 5205: 5146: 5142: 5134: 5131: 5130: 5105: 5101: 5099: 5096: 5095: 5051: 5047: 5026: 5022: 5014: 5011: 5010: 4973: 4969: 4951: 4947: 4945: 4942: 4941: 4918: 4914: 4897: 4894: 4893: 4887: 4857: 4854: 4853: 4825: 4821: 4816: 4813: 4812: 4787: 4784: 4783: 4763: 4759: 4754: 4751: 4750: 4734: 4720: 4717: 4716: 4690: 4677: 4673: 4655: 4647: 4635: 4630: 4628: 4627: 4613: 4610: 4609: 4593: 4592: 4583: 4572: 4553: 4551: 4548: 4541: 4530: 4515: 4511: 4507: 4505: 4502: 4492: 4491: 4483: 4470: 4466: 4447: 4439: 4426: 4422: 4410: 4409: 4401: 4388: 4384: 4375: 4371: 4349: 4341: 4330: 4319: 4318: 4317: 4303: 4281: 4277: 4255: 4247: 4242: 4240: 4235: 4233: 4230: 4229: 4206: 4196: 4192: 4165: 4157: 4151: 4148: 4147: 4122: 4119: 4118: 4098: 4094: 4074: 4071: 4070: 4042: 4028: 4025: 4024: 4004: 4000: 3995: 3992: 3991: 3965: 3962: 3961: 3925: 3924: 3922: 3919: 3918: 3911: 3873: 3870: 3869: 3853: 3852: 3828: 3823: 3821: 3820: 3814: 3813: 3786: 3782: 3776: 3772: 3763: 3762: 3740: 3700: 3692: 3687: 3683: 3677: 3673: 3666: 3638: 3636: 3633: 3632: 3575: 3571: 3569: 3566: 3565: 3533: 3529: 3527: 3524: 3523: 3501: 3500: 3488: 3448: 3444: 3423: 3415: 3402: 3401: 3393: 3353: 3345: 3334: 3306: 3304: 3301: 3300: 3282: 3230: 3226: 3221: 3218: 3217: 3162: 3158: 3150: 3145: 3143: 3142: 3140: 3137: 3136: 3104: 3101: 3100: 3044: 3040: 3032: 3027: 3025: 3024: 3010: 3007: 3006: 2972: 2971: 2946: 2942: 2934: 2929: 2927: 2926: 2920: 2919: 2895: 2890: 2888: 2887: 2883: 2844: 2840: 2836: 2834: 2831: 2830: 2787: 2775: 2771: 2762: 2758: 2757: 2736: 2732: 2731: 2729: 2719: 2715: 2709: 2701: 2672: 2656: 2652: 2643: 2639: 2633: 2625: 2620: 2616: 2610: 2606: 2604: 2601: 2600: 2573: 2570: 2569: 2550: 2547: 2546: 2530: 2527: 2526: 2510: 2507: 2506: 2481: 2478: 2477: 2461: 2458: 2457: 2440: 2436: 2434: 2431: 2430: 2401: 2397: 2389: 2384: 2382: 2381: 2367: 2364: 2363: 2341: 2338: 2337: 2312: 2309: 2308: 2268: 2265: 2264: 2242: 2239: 2238: 2222: 2219: 2218: 2202: 2199: 2198: 2167: 2164: 2163: 2117: 2114: 2113: 2090: 2087: 2086: 2070: 2067: 2066: 2041: 2038: 2037: 2021: 2018: 2017: 1992: 1989: 1988: 1972: 1969: 1968: 1952: 1949: 1948: 1920: 1917: 1916: 1891: 1888: 1887: 1862: 1859: 1858: 1818: 1815: 1814: 1785: 1782: 1781: 1765: 1744: 1704: 1696: 1687: 1684: 1683: 1659: 1619: 1611: 1592: 1591: 1586: 1584: 1583: 1581: 1578: 1577: 1524: 1521: 1520: 1494: 1489: 1403: 1400: 1399: 1382: 1378: 1373: 1367: 1363: 1361: 1358: 1357: 1340: 1336: 1334: 1331: 1330: 1310: 1306: 1300: 1296: 1294: 1291: 1290: 1274: 1271: 1270: 1253: 1249: 1247: 1244: 1243: 1223: 1219: 1213: 1209: 1207: 1204: 1203: 1179:, which is the 1119: 1115: 1106: 1102: 1093: 1089: 1087: 1084: 1083: 1076:continuous time 1050: 1047: 1046: 1021: 1018: 1017: 988: 985: 984: 945: 942: 941: 910: 907: 906: 881: 878: 877: 852: 849: 848: 837:Time invariance 802: 800: 797: 796: 770: 767: 766: 747: 744: 743: 715: 698: 695: 694: 666: 649: 646: 645: 617: 615: 612: 611: 583: 581: 578: 577: 549: 546: 545: 517: 514: 513: 497: 494: 493: 468: 465: 464: 463:and the output 439: 436: 435: 425:time invariance 417: 403:of many sorts, 318: 303: 280: 265: 254: 251:time-invariance 227:system analysis 214: 203: 197: 194: 187: 180: 174: 170: 166: 155: 149: 142: 131: 125: 114: 108: 86: 75: 69: 66: 56:Please help to 55: 39: 35: 28: 23: 22: 15: 12: 11: 5: 13755: 13745: 13744: 13739: 13734: 13729: 13724: 13719: 13705: 13704: 13698: 13692: 13686: 13678: 13677:External links 13675: 13673: 13672: 13636: 13630: 13613: 13611: 13608: 13607: 13606: 13570: 13551: 13545: 13532: 13512: 13493: 13490: 13489: 13488: 13483: 13481:Green function 13478: 13473: 13468: 13463: 13456: 13453: 13450: 13449: 13440: 13428: 13416: 13407: 13400: 13381: 13380: 13378: 13375: 13358: 13355: 13351: 13347: 13343: 13308: 13305: 13302: 13298: 13294: 13291: 13288: 13285: 13281: 13275: 13270: 13267: 13264: 13261: 13257: 13244: 13235: 13231: 13227: 13224: 13221: 13218: 13215: 13195: 13192: 13189: 13186: 13166: 13163: 13160: 13157: 13137: 13134: 13131: 13128: 13102: 13099: 13094: 13090: 13086: 13083: 13080: 13077: 13074: 13052: 13049: 13044: 13040: 13036: 13033: 13030: 13027: 13024: 13007:BIBO stability 13005:Main article: 13002: 12999: 12982: 12979: 12976: 12973: 12953: 12950: 12947: 12944: 12941: 12935: 12932: 12929: 12926: 12923: 12920: 12905:Main article: 12902: 12899: 12882: 12879: 12876: 12873: 12861: 12858: 12856: 12855: 12839: 12836: 12833: 12830: 12827: 12824: 12820: 12817: 12814: 12808: 12803: 12800: 12798: 12796: 12793: 12789: 12786: 12782: 12779: 12774: 12771: 12768: 12765: 12762: 12759: 12756: 12751: 12748: 12745: 12742: 12739: 12736: 12733: 12730: 12726: 12723: 12718: 12714: 12711: 12709: 12707: 12704: 12701: 12698: 12695: 12692: 12689: 12684: 12681: 12678: 12673: 12670: 12667: 12664: 12661: 12657: 12653: 12650: 12648: 12645: 12641: 12638: 12635: 12632: 12629: 12626: 12622: 12616: 12611: 12610: 12586: 12582: 12578: 12575: 12572: 12567: 12563: 12558: 12552: 12545: 12541: 12537: 12533: 12529: 12526: 12523: 12518: 12514: 12509: 12503: 12496: 12492: 12488: 12485: 12483: 12481: 12478: 12475: 12472: 12467: 12463: 12457: 12454: 12451: 12446: 12443: 12440: 12437: 12434: 12430: 12424: 12420: 12416: 12413: 12410: 12407: 12402: 12398: 12392: 12389: 12386: 12381: 12378: 12375: 12372: 12369: 12365: 12359: 12355: 12351: 12348: 12346: 12344: 12340: 12336: 12333: 12330: 12325: 12321: 12315: 12311: 12307: 12304: 12301: 12298: 12293: 12289: 12283: 12279: 12274: 12268: 12265: 12262: 12257: 12254: 12251: 12248: 12245: 12241: 12237: 12234: 12232: 12229: 12225: 12222: 12219: 12214: 12210: 12204: 12200: 12196: 12193: 12190: 12187: 12182: 12178: 12172: 12168: 12163: 12157: 12152: 12151: 12131: 12128: 12125: 12122: 12119: 12114: 12111: 12108: 12103: 12100: 12097: 12094: 12091: 12087: 12074: 12066: 12062: 12059: 12056: 12053: 12049: 12043: 12030: 12019: 12016: 12013: 12010: 12007: 12002: 11999: 11995: 11991: 11987: 11983: 11980: 11977: 11974: 11971: 11967: 11961: 11943: 11942: 11930: 11927: 11924: 11921: 11918: 11915: 11912: 11909: 11906: 11903: 11900: 11897: 11894: 11891: 11888: 11885: 11882: 11879: 11876: 11873: 11870: 11867: 11864: 11861: 11858: 11855: 11852: 11849: 11846: 11843: 11840: 11837: 11834: 11831: 11828: 11825: 11822: 11819: 11816: 11806: 11794: 11791: 11788: 11783: 11779: 11775: 11772: 11767: 11763: 11759: 11756: 11753: 11750: 11745: 11741: 11737: 11734: 11729: 11725: 11721: 11718: 11715: 11712: 11709: 11706: 11701: 11697: 11693: 11688: 11684: 11680: 11677: 11674: 11671: 11668: 11665: 11660: 11656: 11652: 11647: 11643: 11639: 11635: 11631: 11628: 11625: 11620: 11616: 11612: 11607: 11603: 11599: 11596: 11593: 11590: 11585: 11581: 11577: 11572: 11568: 11563: 11559: 11537: 11534: 11531: 11528: 11525: 11522: 11510: 11503: 11500: 11497: 11494: 11491: 11488: 11485: 11473: 11471: 11468: 11453: 11450: 11447: 11444: 11441: 11438: 11435: 11432: 11429: 11426: 11423: 11418: 11415: 11409: 11403: 11400: 11397: 11394: 11391: 11388: 11385: 11382: 11379: 11376: 11373: 11368: 11363: 11360: 11357: 11354: 11350: 11346: 11343: 11340: 11337: 11334: 11331: 11328: 11325: 11322: 11319: 11316: 11313: 11310: 11307: 11293:Fourier series 11265: 11260: 11257: 11253: 11249: 11246: 11226: 11223: 11220: 11217: 11197: 11194: 11191: 11188: 11185: 11182: 11177: 11172: 11169: 11164: 11161: 11157: 11153: 11150: 11124: 11121: 11117: 11113: 11110: 11088: 11084: 11062: 11058: 11055: 11033: 11030: 11027: 11023: 10998: 10995: 10991: 10987: 10984: 10981: 10978: 10973: 10968: 10965: 10962: 10959: 10955: 10951: 10948: 10945: 10942: 10939: 10936: 10933: 10928: 10923: 10920: 10917: 10914: 10911: 10896: 10893: 10880: 10877: 10874: 10871: 10845: 10841: 10811: 10808: 10804: 10800: 10797: 10794: 10791: 10786: 10781: 10778: 10775: 10772: 10768: 10755: 10748: 10745: 10742: 10739: 10719: 10716: 10713: 10710: 10705: 10701: 10697: 10692: 10689: 10685: 10680: 10677: 10674: 10671: 10666: 10661: 10658: 10655: 10652: 10648: 10642: 10638: 10634: 10629: 10626: 10623: 10620: 10617: 10613: 10608: 10605: 10602: 10599: 10594: 10589: 10586: 10583: 10580: 10576: 10548: 10544: 10539: 10536: 10533: 10530: 10527: 10524: 10519: 10514: 10511: 10508: 10505: 10501: 10480: 10477: 10474: 10471: 10449: 10445: 10441: 10438: 10435: 10432: 10429: 10405: 10401: 10398: 10395: 10392: 10386: 10381: 10378: 10374: 10370: 10367: 10346: 10342: 10339: 10328:time-invariant 10320:eigenfunctions 10306: 10302: 10299: 10277: 10274: 10271: 10267: 10263: 10258: 10254: 10238:, a constant. 10223: 10197: 10194: 10191: 10188: 10185: 10180: 10162: 10159: 10112: 10108: 10096: 10095: 10092: 10091: 10072: 10069: 10066: 10063: 10060: 10057: 10054: 10051: 10048: 10045: 10042: 10039: 10034: 10029: 10026: 10023: 10020: 10016: 10012: 10002: 9999: 9998: 9987: 9984: 9981: 9978: 9975: 9972: 9969: 9966: 9963: 9960: 9957: 9952: 9947: 9944: 9941: 9938: 9934: 9930: 9920: 9909: 9906: 9903: 9900: 9867: 9864: 9861: 9858: 9855: 9852: 9849: 9837: 9830: 9828: 9826: 9823: 9820: 9814: 9811: 9808: 9805: 9802: 9799: 9794: 9791: 9788: 9784: 9773: 9766: 9764: 9762: 9759: 9753: 9750: 9747: 9744: 9741: 9738: 9735: 9732: 9727: 9723: 9719: 9718: 9689: 9686: 9683: 9680: 9677: 9674: 9671: 9668: 9665: 9662: 9657: 9653: 9632: 9629: 9626: 9623: 9620: 9615: 9611: 9577: 9574: 9571: 9565: 9562: 9559: 9556: 9553: 9550: 9547: 9544: 9539: 9535: 9531: 9528: 9525: 9522: 9519: 9514: 9509: 9506: 9503: 9500: 9496: 9492: 9489: 9487: 9485: 9481: 9477: 9471: 9468: 9465: 9462: 9459: 9456: 9453: 9450: 9447: 9444: 9441: 9438: 9433: 9428: 9425: 9422: 9419: 9415: 9410: 9404: 9400: 9396: 9393: 9391: 9389: 9386: 9383: 9378: 9374: 9370: 9367: 9364: 9361: 9358: 9355: 9354: 9331: 9328: 9325: 9303: 9300: 9297: 9294: 9291: 9288: 9285: 9282: 9279: 9276: 9273: 9270: 9265: 9260: 9257: 9254: 9251: 9247: 9243: 9240: 9237: 9234: 9231: 9211: 9208: 9205: 9192: 9191: 9182: 9180: 9164: 9161: 9158: 9155: 9150: 9147: 9144: 9140: 9127: 9120: 9118: 9116: 9113: 9110: 9107: 9104: 9101: 9098: 9088: 9081: 9079: 9077: 9074: 9068: 9065: 9062: 9059: 9056: 9053: 9050: 9047: 9042: 9038: 9034: 9033: 9015: 9014: 9005: 9003: 8992: 8989: 8984: 8980: 8976: 8971: 8967: 8963: 8958: 8954: 8948: 8943: 8940: 8937: 8934: 8930: 8926: 8922: 8918: 8912: 8909: 8906: 8903: 8898: 8894: 8890: 8885: 8881: 8875: 8870: 8867: 8864: 8861: 8857: 8852: 8846: 8842: 8827:must satisfy: 8816: 8794: 8791: 8788: 8782: 8779: 8776: 8773: 8770: 8767: 8762: 8758: 8745: 8738: 8735: 8732: 8729: 8705: 8702: 8699: 8696: 8693: 8690: 8687: 8684: 8681: 8678: 8629: 8626: 8623: 8620: 8615: 8611: 8598: 8591: 8588: 8585: 8582: 8562: 8542: 8539: 8536: 8533: 8513: 8510: 8507: 8485: 8482: 8479: 8473: 8470: 8467: 8464: 8461: 8458: 8438: 8435: 8432: 8410: 8407: 8404: 8396: 8393: 8390: 8387: 8384: 8381: 8378: 8375: 8355: 8352: 8346: 8343: 8340: 8337: 8334: 8331: 8328: 8325: 8313: 8310: 8294:Nyquist filter 8273: 8269: 8265: 8262: 8258: 8254: 8251: 8248: 8245: 8242: 8230: 8221: 8217: 8188: 8185: 8182: 8179: 8163: 8160: 8155: 8152: 8139: 8136: 8133: 8109: 8106: 8103: 8071: 8068: 8065: 8062: 8036: 8033: 8030: 8027: 8023: 8017: 8013: 8010: 8007: 8004: 8000: 7994: 7989: 7986: 7982: 7978: 7973: 7969: 7965: 7962: 7959: 7956: 7953: 7929: 7926: 7923: 7920: 7900: 7897: 7894: 7891: 7871: 7868: 7865: 7862: 7836: 7833: 7828: 7824: 7820: 7817: 7814: 7811: 7808: 7783: 7780: 7775: 7771: 7767: 7764: 7761: 7758: 7755: 7735:BIBO stability 7733:Main article: 7730: 7727: 7706: 7703: 7700: 7697: 7675: 7672: 7669: 7666: 7663: 7659: 7656: 7653: 7650: 7647: 7644: 7629:Main article: 7626: 7623: 7617: 7614: 7612: 7611: 7598: 7593: 7588: 7585: 7580: 7576: 7572: 7568: 7559: 7557: 7554: 7553: 7550: 7545: 7542: 7537: 7533: 7529: 7525: 7516: 7514: 7511: 7510: 7508: 7494: 7487: 7484: 7481: 7478: 7458: 7455: 7451: 7446: 7443: 7440: 7437: 7433: 7427: 7424: 7419: 7416: 7413: 7407: 7403: 7398: 7393: 7390: 7386: 7382: 7378: 7374: 7371: 7368: 7365: 7361: 7355: 7333: 7330: 7327: 7324: 7299: 7273: 7270: 7267: 7264: 7261: 7258: 7255: 7252: 7249: 7244: 7239: 7236: 7234: 7232: 7229: 7225: 7220: 7217: 7214: 7211: 7206: 7203: 7200: 7197: 7194: 7191: 7188: 7183: 7180: 7177: 7174: 7171: 7168: 7165: 7161: 7157: 7154: 7152: 7150: 7147: 7143: 7138: 7135: 7132: 7129: 7126: 7123: 7118: 7115: 7112: 7107: 7104: 7101: 7097: 7093: 7090: 7088: 7085: 7081: 7078: 7075: 7072: 7069: 7066: 7062: 7056: 7051: 7050: 7026: 7023: 7020: 7017: 7014: 7009: 7005: 7001: 6996: 6989: 6985: 6981: 6978: 6975: 6972: 6969: 6964: 6960: 6956: 6951: 6944: 6940: 6936: 6933: 6931: 6929: 6926: 6922: 6917: 6914: 6911: 6906: 6902: 6896: 6893: 6890: 6885: 6882: 6879: 6875: 6869: 6865: 6861: 6858: 6854: 6849: 6846: 6843: 6838: 6834: 6828: 6825: 6822: 6817: 6814: 6811: 6807: 6801: 6797: 6793: 6790: 6788: 6786: 6783: 6779: 6774: 6771: 6768: 6765: 6760: 6756: 6750: 6746: 6742: 6739: 6736: 6733: 6728: 6724: 6718: 6714: 6710: 6705: 6702: 6699: 6694: 6691: 6688: 6684: 6680: 6677: 6675: 6673: 6670: 6667: 6664: 6659: 6655: 6649: 6645: 6641: 6638: 6635: 6632: 6627: 6623: 6617: 6613: 6609: 6604: 6599: 6598: 6578: 6575: 6571: 6566: 6563: 6560: 6557: 6552: 6549: 6546: 6541: 6538: 6535: 6531: 6518: 6510: 6506: 6503: 6500: 6497: 6493: 6487: 6474: 6461: 6458: 6455: 6452: 6449: 6446: 6442: 6438: 6435: 6432: 6429: 6423: 6419: 6413: 6406: 6400: 6383: 6382: 6370: 6367: 6364: 6361: 6358: 6354: 6351: 6347: 6344: 6341: 6338: 6335: 6332: 6329: 6323: 6319: 6313: 6300: 6288: 6285: 6282: 6278: 6274: 6270: 6264: 6260: 6256: 6253: 6250: 6247: 6243: 6239: 6235: 6229: 6225: 6221: 6217: 6213: 6210: 6207: 6202: 6198: 6192: 6188: 6184: 6181: 6178: 6175: 6170: 6166: 6160: 6156: 6151: 6144: 6140: 6134: 6113: 6111: 6108: 6052: 6049: 6046: 6043: 6040: 6037: 6034: 6031: 6028: 6025: 6022: 6017: 6014: 6008: 5993: 5986: 5982: 5977: 5974: 5971: 5968: 5965: 5962: 5959: 5956: 5953: 5950: 5945: 5940: 5937: 5933: 5920: 5913: 5910: 5907: 5904: 5901: 5898: 5895: 5892: 5889: 5886: 5883: 5880: 5877: 5817: 5814: 5811: 5808: 5805: 5785: 5782: 5779: 5776: 5756: 5753: 5750: 5747: 5744: 5741: 5736: 5731: 5728: 5725: 5722: 5719: 5716: 5691: 5688: 5674: 5667: 5646: 5642: 5639: 5617: 5614: 5611: 5607: 5586: 5582: 5575: 5572: 5569: 5565: 5561: 5558: 5555: 5552: 5547: 5542: 5538: 5525: 5518: 5515: 5512: 5509: 5506: 5503: 5498: 5484: 5477: 5474: 5471: 5468: 5453: 5450: 5435: 5432: 5429: 5425: 5404: 5401: 5398: 5395: 5392: 5389: 5386: 5381: 5378: 5375: 5371: 5367: 5364: 5361: 5358: 5355: 5352: 5349: 5346: 5326: 5323: 5320: 5300: 5297: 5294: 5291: 5288: 5285: 5282: 5277: 5274: 5271: 5267: 5263: 5260: 5257: 5254: 5251: 5248: 5245: 5242: 5239: 5236: 5213: 5193: 5190: 5187: 5184: 5181: 5178: 5175: 5172: 5169: 5166: 5163: 5160: 5157: 5154: 5149: 5145: 5141: 5138: 5114: 5111: 5108: 5104: 5083: 5080: 5077: 5074: 5071: 5068: 5065: 5060: 5057: 5054: 5050: 5046: 5043: 5040: 5037: 5034: 5029: 5025: 5021: 5018: 4994: 4991: 4988: 4985: 4982: 4979: 4976: 4972: 4968: 4965: 4962: 4959: 4954: 4950: 4927: 4924: 4921: 4917: 4913: 4910: 4907: 4904: 4901: 4886: 4883: 4870: 4867: 4864: 4861: 4831: 4828: 4824: 4820: 4800: 4797: 4794: 4791: 4769: 4766: 4762: 4758: 4737: 4733: 4730: 4727: 4724: 4697: 4693: 4686: 4683: 4680: 4676: 4672: 4669: 4666: 4663: 4658: 4653: 4650: 4646: 4633: 4626: 4623: 4620: 4617: 4591: 4586: 4580: 4569: 4565: 4562: 4559: 4556: 4544: 4538: 4527: 4521: 4518: 4514: 4510: 4500: 4497: 4495: 4493: 4490: 4486: 4479: 4476: 4473: 4469: 4464: 4461: 4458: 4455: 4450: 4445: 4442: 4438: 4432: 4429: 4425: 4421: 4418: 4415: 4413: 4411: 4408: 4404: 4397: 4394: 4391: 4387: 4381: 4378: 4374: 4370: 4366: 4363: 4360: 4357: 4352: 4347: 4344: 4340: 4336: 4333: 4331: 4327: 4322: 4314: 4310: 4306: 4299: 4296: 4293: 4290: 4287: 4284: 4280: 4276: 4272: 4269: 4266: 4263: 4258: 4253: 4250: 4246: 4238: 4237: 4213: 4209: 4202: 4199: 4195: 4191: 4188: 4185: 4182: 4179: 4176: 4173: 4168: 4163: 4160: 4156: 4135: 4132: 4129: 4126: 4104: 4101: 4097: 4093: 4090: 4087: 4084: 4081: 4078: 4067:time-invariant 4059:eigenfunctions 4045: 4041: 4038: 4035: 4032: 4010: 4007: 4003: 3999: 3984:, a constant. 3969: 3945: 3942: 3939: 3936: 3933: 3928: 3910: 3907: 3883: 3880: 3877: 3850: 3847: 3844: 3841: 3838: 3826: 3819: 3817: 3815: 3811: 3807: 3801: 3798: 3795: 3792: 3789: 3785: 3779: 3775: 3771: 3768: 3766: 3764: 3760: 3756: 3750: 3747: 3743: 3738: 3735: 3732: 3729: 3726: 3723: 3720: 3717: 3714: 3711: 3708: 3703: 3698: 3695: 3691: 3686: 3680: 3676: 3672: 3669: 3667: 3665: 3662: 3659: 3656: 3653: 3650: 3647: 3644: 3641: 3640: 3613: 3610: 3607: 3604: 3601: 3598: 3595: 3592: 3589: 3586: 3583: 3578: 3574: 3553: 3550: 3547: 3544: 3541: 3536: 3532: 3498: 3495: 3491: 3486: 3483: 3477: 3474: 3471: 3468: 3465: 3462: 3459: 3456: 3451: 3447: 3443: 3440: 3437: 3434: 3431: 3426: 3421: 3418: 3414: 3410: 3407: 3405: 3403: 3400: 3396: 3391: 3388: 3385: 3382: 3379: 3376: 3373: 3370: 3367: 3364: 3361: 3356: 3351: 3348: 3344: 3340: 3337: 3335: 3333: 3330: 3327: 3324: 3321: 3318: 3315: 3312: 3309: 3308: 3297: 3296: 3293: 3292: 3271: 3268: 3265: 3259: 3256: 3253: 3250: 3247: 3244: 3241: 3238: 3233: 3229: 3225: 3215: 3212: 3211: 3200: 3197: 3191: 3188: 3185: 3182: 3179: 3176: 3171: 3168: 3165: 3161: 3148: 3134: 3123: 3120: 3117: 3114: 3111: 3108: 3079: 3076: 3073: 3067: 3064: 3061: 3058: 3055: 3052: 3047: 3043: 3030: 3023: 3020: 3017: 3014: 2997: 2996: 2987: 2985: 2969: 2966: 2963: 2960: 2955: 2952: 2949: 2945: 2932: 2925: 2923: 2921: 2918: 2915: 2912: 2909: 2906: 2903: 2893: 2886: 2884: 2882: 2879: 2873: 2870: 2867: 2864: 2861: 2858: 2855: 2852: 2847: 2843: 2839: 2838: 2820: 2819: 2810: 2808: 2797: 2794: 2790: 2783: 2778: 2774: 2770: 2765: 2761: 2754: 2750: 2747: 2744: 2739: 2735: 2722: 2718: 2712: 2707: 2704: 2700: 2696: 2692: 2688: 2682: 2679: 2675: 2670: 2667: 2664: 2659: 2655: 2646: 2642: 2636: 2631: 2628: 2624: 2619: 2613: 2609: 2581:{\textstyle O} 2577: 2558:{\textstyle t} 2554: 2538:{\textstyle t} 2534: 2518:{\textstyle x} 2514: 2494: 2491: 2488: 2485: 2469:{\textstyle t} 2465: 2443: 2439: 2418: 2415: 2412: 2409: 2404: 2400: 2387: 2380: 2377: 2374: 2371: 2351: 2348: 2345: 2325: 2322: 2319: 2316: 2296: 2293: 2287: 2284: 2281: 2278: 2275: 2272: 2252: 2249: 2246: 2226: 2210:{\textstyle u} 2206: 2197:with variable 2186: 2183: 2180: 2177: 2174: 2171: 2151: 2148: 2142: 2139: 2136: 2133: 2130: 2127: 2124: 2121: 2098:{\textstyle t} 2094: 2085:prior to time 2078:{\textstyle x} 2074: 2054: 2051: 2048: 2045: 2025: 2005: 2002: 1999: 1996: 1980:{\textstyle t} 1976: 1960:{\textstyle t} 1956: 1936: 1933: 1930: 1927: 1924: 1904: 1901: 1898: 1895: 1875: 1872: 1869: 1866: 1846: 1843: 1840: 1837: 1834: 1831: 1828: 1825: 1822: 1798: 1795: 1792: 1789: 1778: 1777: 1774: 1773: 1754: 1751: 1747: 1742: 1739: 1736: 1733: 1730: 1727: 1724: 1721: 1718: 1715: 1712: 1707: 1702: 1699: 1695: 1691: 1681: 1678: 1677: 1666: 1662: 1657: 1654: 1651: 1648: 1645: 1642: 1639: 1636: 1633: 1630: 1627: 1622: 1617: 1614: 1610: 1601: 1598: 1595: 1589: 1575: 1564: 1561: 1558: 1555: 1552: 1549: 1546: 1543: 1540: 1537: 1534: 1531: 1528: 1493: 1490: 1488: 1485: 1481:Green function 1407: 1385: 1381: 1376: 1370: 1366: 1343: 1339: 1316: 1313: 1309: 1303: 1299: 1278: 1256: 1252: 1229: 1226: 1222: 1216: 1212: 1193:eigenfunctions 1122: 1118: 1114: 1109: 1105: 1101: 1096: 1092: 1063: 1060: 1057: 1054: 1034: 1031: 1028: 1025: 1012:is simply the 1001: 998: 995: 992: 977: 976: 964: 961: 958: 955: 952: 949: 929: 926: 923: 920: 917: 914: 894: 891: 888: 885: 865: 862: 859: 856: 834: 818: 815: 812: 808: 805: 783: 780: 777: 774: 751: 731: 728: 725: 721: 718: 714: 711: 708: 705: 702: 682: 679: 676: 672: 669: 665: 662: 659: 656: 653: 633: 630: 627: 623: 620: 599: 596: 593: 589: 586: 565: 562: 559: 556: 553: 533: 530: 527: 524: 521: 501: 481: 478: 475: 472: 452: 449: 446: 443: 416: 413: 389:control theory 332:consisting of 212: 201: 192: 185: 178: 164: 153: 147: 140: 129: 123: 112: 88: 87: 42: 40: 33: 26: 9: 6: 4: 3: 2: 13754: 13743: 13740: 13738: 13735: 13733: 13730: 13728: 13725: 13723: 13720: 13718: 13715: 13714: 13712: 13702: 13699: 13696: 13693: 13690: 13687: 13684: 13681: 13680: 13669: 13665: 13661: 13657: 13653: 13649: 13642: 13637: 13633: 13627: 13623: 13619: 13615: 13614: 13603: 13599: 13595: 13591: 13587: 13583: 13576: 13571: 13561: 13557: 13552: 13548: 13542: 13538: 13533: 13529: 13523: 13515: 13509: 13505: 13501: 13496: 13495: 13487: 13484: 13482: 13479: 13477: 13474: 13472: 13469: 13467: 13464: 13462: 13459: 13458: 13444: 13438: 13432: 13426: 13420: 13411: 13403: 13401:0-387-23488-8 13397: 13393: 13386: 13382: 13374: 13372: 13356: 13353: 13345: 13332: 13328: 13324: 13319: 13306: 13300: 13289: 13283: 13265: 13262: 13259: 13255: 13242: 13233: 13222: 13216: 13190: 13184: 13161: 13155: 13132: 13126: 13118: 13113: 13097: 13081: 13075: 13065:implies that 13063: 13047: 13031: 13025: 13014: 13008: 12998: 12996: 12977: 12971: 12951: 12948: 12945: 12942: 12933: 12930: 12924: 12918: 12908: 12907:Causal system 12898: 12896: 12877: 12871: 12837: 12831: 12828: 12825: 12818: 12815: 12812: 12801: 12799: 12787: 12784: 12777: 12772: 12769: 12763: 12760: 12757: 12749: 12746: 12740: 12737: 12734: 12728: 12724: 12721: 12716: 12712: 12710: 12699: 12696: 12693: 12687: 12682: 12679: 12676: 12671: 12668: 12665: 12662: 12659: 12655: 12651: 12649: 12643: 12636: 12633: 12630: 12624: 12620: 12584: 12580: 12573: 12565: 12561: 12556: 12543: 12539: 12535: 12531: 12524: 12516: 12512: 12507: 12494: 12490: 12486: 12484: 12473: 12465: 12461: 12455: 12452: 12449: 12444: 12441: 12438: 12435: 12432: 12428: 12422: 12418: 12414: 12408: 12400: 12396: 12390: 12387: 12384: 12379: 12376: 12373: 12370: 12367: 12363: 12357: 12353: 12349: 12347: 12338: 12331: 12323: 12319: 12313: 12309: 12305: 12299: 12291: 12287: 12281: 12277: 12272: 12266: 12263: 12260: 12255: 12252: 12249: 12246: 12243: 12239: 12235: 12233: 12227: 12220: 12212: 12208: 12202: 12198: 12194: 12188: 12180: 12176: 12170: 12166: 12161: 12129: 12123: 12117: 12112: 12109: 12106: 12101: 12098: 12095: 12092: 12089: 12085: 12072: 12064: 12057: 12051: 12047: 12031: 12017: 12011: 12005: 12000: 11997: 11993: 11989: 11985: 11978: 11972: 11969: 11965: 11950: 11948: 11925: 11922: 11919: 11910: 11904: 11901: 11895: 11892: 11886: 11883: 11880: 11871: 11868: 11862: 11859: 11856: 11853: 11850: 11844: 11841: 11832: 11829: 11826: 11820: 11814: 11807: 11789: 11781: 11777: 11773: 11770: 11765: 11761: 11757: 11751: 11743: 11739: 11735: 11732: 11727: 11723: 11719: 11713: 11710: 11707: 11699: 11695: 11691: 11686: 11682: 11678: 11672: 11669: 11666: 11658: 11654: 11650: 11645: 11641: 11637: 11633: 11626: 11618: 11614: 11610: 11605: 11601: 11597: 11591: 11583: 11579: 11575: 11570: 11566: 11561: 11557: 11550: 11549: 11532: 11529: 11526: 11520: 11508: 11495: 11489: 11483: 11475: 11474: 11467: 11464: 11451: 11442: 11436: 11430: 11424: 11416: 11413: 11401: 11395: 11389: 11383: 11380: 11377: 11371: 11358: 11355: 11352: 11348: 11344: 11338: 11329: 11326: 11323: 11317: 11311: 11305: 11296: 11294: 11289: 11287: 11283: 11279: 11258: 11255: 11251: 11244: 11221: 11215: 11189: 11183: 11170: 11162: 11159: 11155: 11148: 11140: 11122: 11119: 11115: 11111: 11108: 11086: 11082: 11056: 11053: 11031: 11028: 11025: 11021: 11011: 10996: 10993: 10989: 10982: 10976: 10963: 10960: 10957: 10953: 10949: 10940: 10934: 10921: 10915: 10909: 10902: 10892: 10875: 10869: 10861: 10860:eigenfunction 10843: 10839: 10829: 10827: 10809: 10806: 10802: 10795: 10789: 10776: 10773: 10770: 10766: 10753: 10743: 10737: 10714: 10708: 10703: 10699: 10695: 10690: 10687: 10683: 10675: 10669: 10656: 10653: 10650: 10646: 10640: 10636: 10632: 10624: 10621: 10618: 10611: 10603: 10597: 10584: 10581: 10578: 10574: 10566: 10561: 10546: 10542: 10534: 10531: 10528: 10522: 10509: 10506: 10503: 10499: 10475: 10469: 10447: 10443: 10439: 10433: 10427: 10418: 10399: 10396: 10393: 10390: 10384: 10379: 10376: 10372: 10368: 10365: 10340: 10337: 10329: 10325: 10321: 10300: 10297: 10275: 10272: 10269: 10265: 10261: 10256: 10252: 10244: 10239: 10237: 10221: 10213: 10208: 10195: 10192: 10189: 10186: 10183: 10168: 10167:eigenfunction 10158: 10156: 10152: 10148: 10144: 10140: 10136: 10132: 10128: 10110: 10106: 10089: 10088:commutativity 10070: 10064: 10058: 10055: 10049: 10046: 10043: 10037: 10024: 10021: 10018: 10014: 10010: 10003: 10001: 10000: 9982: 9979: 9976: 9970: 9967: 9961: 9955: 9942: 9939: 9936: 9932: 9928: 9921: 9904: 9898: 9891: 9890: 9887: 9886: 9885: 9882: 9865: 9859: 9856: 9853: 9847: 9835: 9829: 9818: 9812: 9806: 9800: 9792: 9789: 9786: 9782: 9771: 9765: 9757: 9751: 9745: 9742: 9739: 9733: 9725: 9721: 9708: 9707: 9701: 9684: 9681: 9678: 9672: 9669: 9663: 9655: 9651: 9627: 9621: 9618: 9613: 9609: 9601:for the case 9600: 9599: 9593: 9575: 9569: 9563: 9557: 9554: 9551: 9545: 9537: 9533: 9529: 9523: 9517: 9504: 9501: 9498: 9494: 9490: 9488: 9479: 9475: 9469: 9463: 9460: 9457: 9451: 9448: 9442: 9436: 9423: 9420: 9417: 9413: 9408: 9402: 9398: 9394: 9392: 9384: 9376: 9372: 9368: 9362: 9356: 9343: 9326: 9314: 9301: 9295: 9292: 9289: 9283: 9280: 9274: 9268: 9255: 9252: 9249: 9245: 9241: 9235: 9229: 9206: 9190: 9183: 9181: 9162: 9156: 9148: 9145: 9142: 9138: 9125: 9119: 9108: 9105: 9102: 9096: 9086: 9080: 9072: 9066: 9060: 9057: 9054: 9048: 9040: 9036: 9024: 9023: 9020: 9013: 9006: 9004: 8990: 8982: 8978: 8969: 8965: 8961: 8956: 8952: 8938: 8935: 8932: 8928: 8924: 8920: 8916: 8910: 8904: 8896: 8892: 8888: 8883: 8879: 8865: 8862: 8859: 8855: 8850: 8844: 8840: 8832: 8831: 8828: 8814: 8805: 8792: 8786: 8780: 8774: 8768: 8760: 8756: 8743: 8733: 8727: 8719: 8703: 8697: 8691: 8688: 8682: 8676: 8668: 8663: 8661: 8657: 8653: 8649: 8645: 8640: 8627: 8621: 8613: 8609: 8596: 8586: 8580: 8560: 8540: 8534: 8508: 8496: 8483: 8477: 8471: 8465: 8459: 8433: 8421: 8408: 8402: 8394: 8388: 8385: 8382: 8376: 8350: 8344: 8338: 8335: 8332: 8326: 8309: 8307: 8303: 8299: 8295: 8291: 8287: 8271: 8263: 8260: 8249: 8246: 8240: 8228: 8219: 8215: 8206: 8202: 8183: 8177: 8168: 8159: 8151: 8137: 8134: 8131: 8123: 8107: 8104: 8101: 8092: 8091:sinc function 8088: 8083: 8069: 8066: 8063: 8060: 8052: 8047: 8034: 8028: 8025: 8008: 8002: 7984: 7980: 7976: 7971: 7960: 7954: 7943: 7924: 7918: 7895: 7889: 7866: 7860: 7852: 7847: 7831: 7815: 7809: 7794: 7778: 7762: 7756: 7742: 7736: 7726: 7724: 7720: 7701: 7695: 7686: 7673: 7670: 7667: 7664: 7657: 7654: 7648: 7642: 7632: 7631:Causal system 7622: 7591: 7586: 7583: 7578: 7570: 7555: 7548: 7543: 7540: 7535: 7527: 7512: 7506: 7492: 7482: 7456: 7453: 7441: 7435: 7431: 7425: 7422: 7417: 7414: 7411: 7405: 7388: 7384: 7380: 7376: 7369: 7363: 7359: 7328: 7315: 7271: 7265: 7262: 7259: 7250: 7237: 7235: 7227: 7215: 7209: 7204: 7201: 7195: 7192: 7189: 7181: 7178: 7172: 7169: 7166: 7159: 7155: 7153: 7145: 7133: 7130: 7127: 7121: 7116: 7113: 7110: 7105: 7102: 7099: 7095: 7091: 7089: 7083: 7076: 7073: 7070: 7064: 7060: 7024: 7015: 7007: 7003: 6987: 6983: 6979: 6970: 6962: 6958: 6942: 6938: 6934: 6932: 6924: 6912: 6904: 6900: 6894: 6891: 6888: 6883: 6880: 6877: 6873: 6867: 6863: 6859: 6856: 6844: 6836: 6832: 6826: 6823: 6820: 6815: 6812: 6809: 6805: 6799: 6795: 6791: 6789: 6781: 6766: 6758: 6754: 6748: 6744: 6740: 6734: 6726: 6722: 6716: 6712: 6703: 6700: 6697: 6692: 6689: 6686: 6682: 6678: 6676: 6665: 6657: 6653: 6647: 6643: 6639: 6633: 6625: 6621: 6615: 6611: 6576: 6573: 6561: 6555: 6550: 6547: 6544: 6539: 6536: 6533: 6529: 6516: 6508: 6501: 6495: 6491: 6475: 6472: 6456: 6450: 6447: 6444: 6440: 6433: 6427: 6421: 6404: 6388: 6365: 6362: 6359: 6352: 6349: 6345: 6339: 6336: 6333: 6327: 6321: 6301: 6283: 6276: 6272: 6268: 6262: 6258: 6254: 6248: 6241: 6237: 6233: 6227: 6223: 6219: 6215: 6208: 6200: 6196: 6190: 6186: 6182: 6176: 6168: 6164: 6158: 6154: 6149: 6142: 6122: 6121: 6119: 6115: 6114: 6107: 6105: 6101: 6097: 6093: 6089: 6086:, we obtain | 6084: 6080: 6074: 6070: 6063: 6050: 6041: 6035: 6029: 6023: 6015: 6012: 5991: 5984: 5972: 5966: 5960: 5957: 5954: 5948: 5935: 5931: 5918: 5908: 5899: 5896: 5893: 5887: 5881: 5875: 5865: 5863: 5859: 5853: 5851: 5846: 5841: 5839: 5835: 5831: 5812: 5809: 5803: 5780: 5774: 5748: 5742: 5729: 5723: 5720: 5714: 5707: 5689: 5686: 5672: 5665: 5640: 5637: 5615: 5612: 5609: 5605: 5584: 5573: 5570: 5567: 5563: 5556: 5550: 5540: 5536: 5523: 5510: 5504: 5482: 5472: 5466: 5459: 5449: 5433: 5430: 5427: 5423: 5399: 5390: 5384: 5379: 5376: 5373: 5369: 5365: 5359: 5350: 5344: 5324: 5321: 5318: 5295: 5286: 5280: 5275: 5272: 5269: 5265: 5261: 5255: 5252: 5249: 5240: 5234: 5225: 5211: 5188: 5185: 5182: 5173: 5167: 5164: 5158: 5147: 5143: 5136: 5128: 5112: 5109: 5106: 5102: 5078: 5069: 5063: 5058: 5055: 5052: 5048: 5044: 5038: 5027: 5023: 5016: 5008: 4989: 4986: 4983: 4977: 4974: 4970: 4966: 4960: 4952: 4948: 4925: 4922: 4919: 4915: 4911: 4905: 4899: 4890: 4882: 4865: 4859: 4851: 4847: 4846:eigenfunction 4829: 4826: 4822: 4818: 4795: 4789: 4767: 4764: 4760: 4756: 4731: 4728: 4725: 4722: 4713: 4711: 4695: 4684: 4681: 4678: 4674: 4667: 4661: 4648: 4644: 4631: 4621: 4615: 4606: 4589: 4584: 4578: 4567: 4560: 4554: 4542: 4536: 4525: 4519: 4516: 4512: 4508: 4498: 4496: 4488: 4477: 4474: 4471: 4467: 4459: 4453: 4440: 4436: 4430: 4427: 4423: 4419: 4416: 4414: 4406: 4395: 4392: 4389: 4385: 4379: 4376: 4372: 4368: 4361: 4355: 4342: 4338: 4334: 4332: 4325: 4312: 4308: 4294: 4291: 4288: 4282: 4278: 4274: 4267: 4261: 4248: 4244: 4227: 4211: 4200: 4197: 4193: 4189: 4183: 4180: 4177: 4171: 4158: 4154: 4130: 4124: 4102: 4099: 4095: 4091: 4088: 4082: 4076: 4068: 4064: 4060: 4039: 4036: 4033: 4030: 4008: 4005: 4001: 3997: 3990: 3985: 3983: 3967: 3959: 3943: 3940: 3937: 3934: 3931: 3916: 3915:eigenfunction 3906: 3903: 3901: 3878: 3866: 3848: 3842: 3836: 3824: 3818: 3809: 3805: 3799: 3793: 3787: 3783: 3777: 3773: 3769: 3767: 3758: 3754: 3748: 3745: 3733: 3730: 3727: 3721: 3718: 3712: 3706: 3693: 3689: 3684: 3678: 3674: 3670: 3668: 3660: 3651: 3648: 3645: 3630: 3629: 3624: 3611: 3605: 3602: 3599: 3593: 3590: 3584: 3576: 3572: 3548: 3542: 3539: 3534: 3530: 3522:for the case 3521: 3520: 3514: 3496: 3493: 3481: 3475: 3469: 3466: 3463: 3457: 3449: 3445: 3441: 3435: 3429: 3416: 3412: 3408: 3406: 3398: 3386: 3383: 3380: 3374: 3371: 3365: 3359: 3346: 3342: 3338: 3336: 3328: 3319: 3316: 3313: 3290: 3289: 3269: 3263: 3257: 3251: 3248: 3245: 3239: 3231: 3227: 3223: 3216: 3214: 3213: 3195: 3189: 3183: 3177: 3169: 3166: 3163: 3159: 3146: 3135: 3118: 3115: 3112: 3106: 3099: 3098: 3095: 3094: 3093: 3090: 3077: 3071: 3065: 3059: 3053: 3045: 3041: 3028: 3018: 3012: 3004: 2995: 2988: 2986: 2967: 2961: 2953: 2950: 2947: 2943: 2930: 2924: 2913: 2910: 2907: 2901: 2891: 2885: 2877: 2871: 2865: 2862: 2859: 2853: 2845: 2841: 2829: 2828: 2825: 2818: 2811: 2809: 2795: 2792: 2776: 2772: 2763: 2759: 2752: 2745: 2737: 2733: 2720: 2716: 2702: 2698: 2694: 2690: 2686: 2680: 2677: 2665: 2657: 2653: 2644: 2640: 2626: 2622: 2617: 2611: 2607: 2599: 2598: 2595: 2593: 2592: 2588:must satisfy 2575: 2566: 2552: 2532: 2512: 2489: 2483: 2463: 2441: 2437: 2416: 2410: 2402: 2398: 2385: 2375: 2369: 2346: 2323: 2317: 2291: 2285: 2279: 2273: 2247: 2224: 2217:and constant 2204: 2181: 2178: 2175: 2169: 2146: 2140: 2134: 2131: 2128: 2122: 2110: 2108: 2092: 2072: 2049: 2043: 2023: 2000: 1994: 1974: 1954: 1931: 1928: 1922: 1899: 1893: 1870: 1864: 1841: 1835: 1832: 1826: 1820: 1812: 1793: 1787: 1771: 1770:commutativity 1752: 1749: 1737: 1734: 1731: 1725: 1722: 1716: 1710: 1697: 1693: 1689: 1682: 1680: 1679: 1664: 1652: 1646: 1643: 1637: 1634: 1631: 1625: 1612: 1608: 1587: 1576: 1559: 1550: 1547: 1544: 1538: 1532: 1526: 1519: 1518: 1515: 1514: 1513: 1511: 1507: 1503: 1499: 1484: 1482: 1477: 1475: 1471: 1467: 1461: 1459: 1455: 1451: 1447: 1443: 1439: 1434: 1432: 1428: 1424: 1419: 1405: 1383: 1379: 1374: 1368: 1364: 1356:. The ratio 1341: 1337: 1314: 1311: 1307: 1301: 1297: 1276: 1254: 1250: 1227: 1224: 1220: 1214: 1210: 1201: 1198: 1194: 1189: 1186: 1182: 1178: 1174: 1173: 1165: 1161: 1156: 1152: 1150: 1146: 1142: 1138: 1120: 1116: 1112: 1107: 1103: 1099: 1094: 1090: 1081: 1080:discrete time 1077: 1058: 1052: 1029: 1023: 1015: 996: 990: 982: 959: 956: 953: 947: 924: 921: 918: 912: 889: 883: 860: 854: 846: 842: 838: 835: 832: 813: 806: 803: 794: 778: 772: 764: 749: 726: 719: 716: 712: 706: 700: 677: 670: 667: 663: 657: 651: 628: 621: 618: 594: 587: 584: 560: 554: 551: 528: 522: 519: 499: 476: 470: 447: 441: 433: 430: 429: 428: 426: 422: 412: 410: 406: 402: 398: 394: 390: 386: 385:filter design 382: 378: 374: 370: 366: 362: 361:discrete-time 358: 354: 349: 347: 343: 339: 335: 331: 325: 321: 316: 310: 306: 299: 295: 291: 287: 283: 278: 272: 268: 261: 257: 252: 248: 244: 240: 236: 232: 228: 218: 211: 207: 200: 191: 184: 177: 169:for all time 163: 159: 152: 146: 139: 135: 128: 122: 118: 111: 106: 102: 98: 97:Block diagram 94: 84: 81: 73: 63: 59: 53: 52: 46: 41: 32: 31: 19: 13651: 13647: 13621: 13585: 13581: 13565:November 21, 13563:, retrieved 13559: 13536: 13503: 13500:Riskin, E.A. 13443: 13436: 13431: 13424: 13419: 13410: 13391: 13385: 13370: 13369:for complex 13320: 13114: 13064: 13012: 13011:A system is 13010: 12910: 12894: 12863: 11946: 11944: 11465: 11297: 11290: 11285: 11281: 11277: 11012: 10898: 10830: 10825: 10562: 10419: 10240: 10211: 10209: 10164: 10150: 10146: 10142: 10138: 10134: 10130: 10126: 10097: 9883: 9704: 9702: 9596: 9594: 9344: 9315: 9195: 9184: 9018: 9007: 8806: 8717: 8664: 8659: 8655: 8651: 8647: 8643: 8641: 8497: 8422: 8315: 8297: 8285: 8169: 8165: 8157: 8084: 8048: 7848: 7795: 7740: 7739:A system is 7738: 7687: 7634: 7619: 6386: 6384: 6103: 6099: 6095: 6091: 6087: 6082: 6078: 6072: 6068: 6064: 5866: 5854: 5844: 5842: 5837: 5833: 5829: 5455: 5226: 5129: 5009: 4891: 4888: 4885:Direct proof 4714: 4709: 4607: 3986: 3957: 3912: 3904: 3899: 3867: 3626: 3625: 3517: 3515: 3298: 3286: 3091: 3002: 3000: 2989: 2823: 2812: 2589: 2567: 2111: 1779: 1509: 1505: 1501: 1497: 1495: 1478: 1476:of signals. 1466:filter banks 1462: 1435: 1420: 1200:exponentials 1190: 1170: 1168: 1163: 1159: 1144: 1140: 1136: 978: 844: 840: 836: 765: 762: 431: 424: 420: 418: 368: 356: 350: 323: 319: 308: 304: 297: 293: 289: 285: 281: 270: 266: 259: 255: 238: 234: 230: 224: 216: 209: 205: 198: 189: 182: 175: 161: 157: 150: 144: 137: 133: 126: 120: 116: 109: 76: 67: 48: 13654:(5): 1090. 13618:Porat, Boaz 13588:(6): 1090. 13333:satisfying 13329:(i.e., the 13327:unit circle 11949:. That is, 10901:Z transform 10565:convolution 9884:Therefore: 9345:Therefore: 7344:. That is, 4226:convolution 3092:Similarly: 1448:made up of 1185:Z transform 1160:time domain 1014:convolution 367:) systems, 277:convolution 62:introducing 18:LTI systems 13711:Categories 13492:References 10330:operator. 10236:eigenvalue 8449:represent 6118:derivative 5311:. Setting 4892:Let's set 4850:eigenvalue 3982:eigenvalue 2263:represent 1458:capacitors 338:capacitors 70:April 2009 45:references 13522:cite book 13437:Exercises 13304:∞ 13274:∞ 13269:∞ 13266:− 13256:∑ 13230:‖ 13214:‖ 13101:∞ 13093:∞ 13089:‖ 13073:‖ 13051:∞ 13043:∞ 13039:‖ 13023:‖ 13001:Stability 12940:∀ 12901:Causality 12829:− 12761:− 12747:− 12738:− 12717:∑ 12697:− 12669:− 12656:∑ 12634:− 12442:− 12429:∑ 12377:− 12364:∑ 12253:− 12240:∑ 12099:− 12086:∑ 11998:− 11923:− 11893:− 11884:− 11860:− 11854:− 11830:− 11771:⋅ 11733:⋅ 11711:− 11692:⋅ 11670:− 11651:⋅ 11611:⋅ 11576:⋅ 11530:− 11414:− 11381:− 11367:∞ 11362:∞ 11359:− 11349:∑ 11327:∗ 11259:ω 11163:ω 11123:ω 11057:∈ 11054:ω 11029:ω 10994:− 10972:∞ 10967:∞ 10964:− 10954:∑ 10807:− 10785:∞ 10780:∞ 10777:− 10767:∑ 10688:− 10665:∞ 10660:∞ 10657:− 10647:∑ 10622:− 10593:∞ 10588:∞ 10585:− 10575:∑ 10532:− 10518:∞ 10513:∞ 10510:− 10500:∑ 10400:∈ 10341:∈ 10301:∈ 10222:λ 10190:λ 10056:⋅ 10047:− 10033:∞ 10028:∞ 10025:− 10015:∑ 9980:− 9968:⋅ 9951:∞ 9946:∞ 9943:− 9933:∑ 9857:− 9801:δ 9790:− 9743:− 9734:δ 9682:− 9673:δ 9555:− 9546:δ 9530:⋅ 9513:∞ 9508:∞ 9505:− 9495:∑ 9461:− 9452:δ 9449:⋅ 9432:∞ 9427:∞ 9424:− 9414:∑ 9293:− 9284:δ 9281:⋅ 9264:∞ 9259:∞ 9256:− 9246:∑ 9242:≡ 9146:− 9106:− 9058:− 8962:⋅ 8947:∞ 8942:∞ 8939:− 8929:∑ 8889:⋅ 8874:∞ 8869:∞ 8866:− 8856:∑ 8769:δ 8692:δ 8386:− 8336:− 8264:∈ 8257:∀ 8070:ω 8032:∞ 7993:∞ 7988:∞ 7985:− 7981:∫ 7968:‖ 7952:‖ 7835:∞ 7827:∞ 7823:‖ 7807:‖ 7782:∞ 7774:∞ 7770:‖ 7754:‖ 7729:Stability 7662:∀ 7625:Causality 7477:Π 7454:λ 7442:λ 7415:− 7412:λ 7402:Π 7397:∞ 7392:∞ 7389:− 7385:∫ 7323:Π 7266:τ 7263:− 7228:ξ 7216:ξ 7196:τ 7193:− 7179:− 7173:τ 7170:− 7160:∫ 7146:λ 7134:τ 7131:− 7128:λ 7103:− 7096:∫ 7077:τ 7074:− 6925:λ 6913:λ 6881:− 6874:∫ 6857:λ 6845:λ 6813:− 6806:∫ 6782:λ 6767:λ 6735:λ 6690:− 6683:∫ 6574:λ 6562:λ 6537:− 6530:∫ 6366:τ 6363:− 6340:τ 6337:− 6013:− 5985:τ 5973:τ 5961:τ 5958:− 5944:∞ 5939:∞ 5936:− 5932:∫ 5897:∗ 5813:ω 5724:ω 5687:− 5641:∈ 5638:ω 5613:ω 5568:− 5546:∞ 5537:∫ 5434:τ 5431:ω 5380:τ 5377:ω 5360:τ 5273:ω 5110:ω 5056:ω 4978:ω 4923:ω 4811:. Hence, 4732:∈ 4679:− 4657:∞ 4652:∞ 4649:− 4645:∫ 4585:λ 4579:⏞ 4568:⏟ 4537:⏞ 4526:⏟ 4489:τ 4478:τ 4472:− 4460:τ 4449:∞ 4444:∞ 4441:− 4437:∫ 4407:τ 4396:τ 4390:− 4362:τ 4351:∞ 4346:∞ 4343:− 4339:∫ 4313:⏞ 4309:τ 4295:τ 4292:− 4268:τ 4257:∞ 4252:∞ 4249:− 4245:∫ 4212:τ 4201:τ 4184:τ 4181:− 4167:∞ 4162:∞ 4159:− 4155:∫ 4040:∈ 3968:λ 3938:λ 3900:responses 3746:τ 3734:τ 3731:− 3722:δ 3719:⋅ 3713:τ 3702:∞ 3697:∞ 3694:− 3690:∫ 3649:∗ 3606:τ 3603:− 3594:δ 3577:τ 3549:τ 3535:τ 3494:τ 3470:τ 3467:− 3458:δ 3442:⋅ 3436:τ 3425:∞ 3420:∞ 3417:− 3413:∫ 3399:τ 3387:τ 3384:− 3372:⋅ 3366:τ 3355:∞ 3350:∞ 3347:− 3343:∫ 3317:∗ 3252:τ 3249:− 3240:δ 3178:δ 3170:τ 3167:− 3119:τ 3116:− 3054:δ 2954:τ 2951:− 2914:τ 2911:− 2866:τ 2863:− 2793:τ 2777:τ 2753:⏟ 2738:τ 2721:τ 2711:∞ 2706:∞ 2703:− 2699:∫ 2678:τ 2658:τ 2645:τ 2635:∞ 2630:∞ 2627:− 2623:∫ 2225:τ 2182:τ 2179:− 2135:τ 2132:− 2024:τ 2001:τ 1932:τ 1929:− 1900:τ 1842:τ 1836:δ 1827:τ 1750:τ 1738:τ 1735:− 1723:⋅ 1717:τ 1706:∞ 1701:∞ 1698:− 1694:∫ 1665:τ 1653:τ 1644:⋅ 1638:τ 1635:− 1621:∞ 1616:∞ 1613:− 1609:∫ 1548:∗ 1454:inductors 1450:resistors 1438:nonlinear 1427:amplitude 1423:sinusoids 1149:sequences 1113:∗ 957:− 922:− 432:Linearity 421:linearity 342:inductors 334:resistors 247:linearity 13620:(1997). 13502:(2007). 13455:See also 13425:Welcome! 12897:stable. 12788:′ 12725:′ 11470:Examples 11046:, where 10491:is then 10290:, where 7562:if  7519:if  6353:′ 6277:′ 6242:′ 6110:Examples 6076:, where 4146:is then 4023:, where 1483:method. 1162:and the 807:′ 720:′ 671:′ 622:′ 588:′ 415:Overview 13656:Bibcode 13590:Bibcode 11141:(DTFT) 10234:is the 8306:aliased 8288:is the 5704:). The 3980:is the 3285:(using 1811:impulse 1768:(using 1474:vectors 1197:complex 365:sampled 363:(i.e., 58:improve 13628:  13543:  13510:  13398:  12964:where 12937:  11137:. The 10858:is an 10730:where 10388:  10324:linear 10318:, are 10210:where 10155:causal 9816:  9755:  9567:  9473:  9070:  8914:  8784:  8475:  8348:  8284:where 7804:  7751:  7688:where 5630:where 4844:is an 4574:Scalar 4063:linear 4057:, are 3956:where 3803:  3752:  3479:  3261:  3193:  3069:  2875:  2726:  2684:  2650:  2429:where 2289:  2144:  2107:causal 1780:where 1456:, and 1421:Since 1143:, and 1135:where 302:where 243:system 239:system 47:, but 13644:(PDF) 13578:(PDF) 13377:Notes 13331:locus 11284:, or 11101:with 10322:of a 10137:. As 8304:) is 8298:above 5836:, or 4532:Input 4061:of a 1967:. As 1431:phase 576:; if 288:) = ( 241:is a 13626:ISBN 13567:2010 13541:ISBN 13528:link 13508:ISBN 13396:ISBN 13301:< 13148:and 13098:< 13048:< 12946:< 11237:and 10241:The 9706:Eq.5 9643:and 9598:Eq.4 9187:Eq.5 9010:Eq.4 8316:Let 8135:> 8124:for 8105:< 8029:< 7832:< 7779:< 7668:< 7579:> 7536:< 6106:)). 5796:and 5658:and 3987:The 3896:Eq.1 3628:Eq.2 3564:and 3519:Eq.2 3288:Eq.3 2992:Eq.3 2815:Eq.2 2591:Eq.1 1470:MIMO 1468:and 1147:are 423:and 383:and 344:and 249:and 143:) + 119:) = 13664:doi 13598:doi 13373:). 13248:def 13119:of 12078:def 11514:def 10831:So 10759:def 10165:An 9841:def 9131:def 8749:def 8602:def 8234:def 7853:of 7498:def 6522:def 6081:= 2 5997:def 5924:def 5852:). 5678:def 5529:def 5488:def 5227:So 4852:is 4637:def 3913:An 3830:def 3152:def 3034:def 3005:as 2936:def 2391:def 940:is 876:is 693:is 544:is 235:LTI 225:In 208:), 13713:: 13662:. 13652:43 13650:. 13646:. 13596:. 13586:43 13584:. 13580:. 13558:, 13524:}} 13520:{{ 12895:is 11548:. 11288:. 11280:, 10891:. 10828:. 10326:, 10157:. 10090:) 9700:. 8720:: 8669:, 8662:. 8082:. 6389:. 6120:. 6083:πf 6073:jω 6071:= 5840:. 5832:, 5224:. 5127:. 4881:. 4712:. 4065:, 3291:) 2594:: 2109:. 2036:, 1857:. 1813:: 1772:) 1452:, 1418:. 1139:, 1082:: 795:, 427:. 395:, 391:, 387:, 379:, 348:. 340:, 336:, 296:)( 292:∗ 279:: 237:) 188:, 181:, 160:– 136:– 13670:. 13666:: 13658:: 13634:. 13604:. 13600:: 13592:: 13549:. 13530:) 13516:. 13404:. 13371:z 13357:1 13354:= 13350:| 13346:z 13342:| 13307:. 13297:| 13293:] 13290:n 13287:[ 13284:h 13280:| 13263:= 13260:n 13243:= 13234:1 13226:] 13223:n 13220:[ 13217:h 13194:] 13191:n 13188:[ 13185:h 13165:] 13162:n 13159:[ 13156:y 13136:] 13133:n 13130:[ 13127:x 13085:] 13082:n 13079:[ 13076:y 13035:] 13032:n 13029:[ 13026:x 12981:] 12978:n 12975:[ 12972:h 12952:, 12949:0 12943:n 12934:0 12931:= 12928:] 12925:n 12922:[ 12919:h 12881:] 12878:n 12875:[ 12872:h 12838:, 12835:] 12832:m 12826:n 12823:[ 12819:} 12816:x 12813:{ 12807:A 12802:= 12792:] 12785:k 12781:[ 12778:x 12773:a 12770:+ 12767:) 12764:m 12758:n 12755:( 12750:a 12744:) 12741:m 12735:n 12732:( 12729:= 12722:k 12713:= 12703:] 12700:m 12694:k 12691:[ 12688:x 12683:a 12680:+ 12677:n 12672:a 12666:n 12663:= 12660:k 12652:= 12644:} 12640:] 12637:m 12631:n 12628:[ 12625:x 12621:{ 12615:A 12585:, 12581:} 12577:] 12574:n 12571:[ 12566:2 12562:x 12557:{ 12551:A 12544:2 12540:c 12536:+ 12532:} 12528:] 12525:n 12522:[ 12517:1 12513:x 12508:{ 12502:A 12495:1 12491:c 12487:= 12477:] 12474:k 12471:[ 12466:2 12462:x 12456:a 12453:+ 12450:n 12445:a 12439:n 12436:= 12433:k 12423:2 12419:c 12415:+ 12412:] 12409:k 12406:[ 12401:1 12397:x 12391:a 12388:+ 12385:n 12380:a 12374:n 12371:= 12368:k 12358:1 12354:c 12350:= 12339:) 12335:] 12332:k 12329:[ 12324:2 12320:x 12314:2 12310:c 12306:+ 12303:] 12300:k 12297:[ 12292:1 12288:x 12282:1 12278:c 12273:( 12267:a 12264:+ 12261:n 12256:a 12250:n 12247:= 12244:k 12236:= 12228:} 12224:] 12221:n 12218:[ 12213:2 12209:x 12203:2 12199:c 12195:+ 12192:] 12189:n 12186:[ 12181:1 12177:x 12171:1 12167:c 12162:{ 12156:A 12130:. 12127:] 12124:k 12121:[ 12118:x 12113:a 12110:+ 12107:n 12102:a 12096:n 12093:= 12090:k 12073:= 12065:} 12061:] 12058:n 12055:[ 12052:x 12048:{ 12042:A 12018:. 12015:) 12012:z 12009:( 12006:X 12001:1 11994:z 11990:= 11986:} 11982:] 11979:n 11976:[ 11973:x 11970:D 11966:{ 11960:Z 11947:z 11929:] 11926:m 11920:n 11917:[ 11914:} 11911:x 11908:{ 11905:D 11902:= 11899:] 11896:m 11890:) 11887:1 11881:n 11878:( 11875:[ 11872:x 11869:= 11866:] 11863:1 11857:m 11851:n 11848:[ 11845:x 11842:= 11839:} 11836:] 11833:m 11827:n 11824:[ 11821:x 11818:{ 11815:D 11793:] 11790:n 11787:[ 11782:2 11778:x 11774:D 11766:2 11762:c 11758:+ 11755:] 11752:n 11749:[ 11744:1 11740:x 11736:D 11728:1 11724:c 11720:= 11717:] 11714:1 11708:n 11705:[ 11700:2 11696:x 11687:2 11683:c 11679:+ 11676:] 11673:1 11667:n 11664:[ 11659:1 11655:x 11646:1 11642:c 11638:= 11634:) 11630:] 11627:n 11624:[ 11619:2 11615:x 11606:2 11602:c 11598:+ 11595:] 11592:n 11589:[ 11584:1 11580:x 11571:1 11567:c 11562:( 11558:D 11536:] 11533:1 11527:n 11524:[ 11521:x 11509:= 11502:} 11499:] 11496:n 11493:[ 11490:x 11487:{ 11484:D 11452:. 11449:} 11446:) 11443:z 11440:( 11437:X 11434:) 11431:z 11428:( 11425:H 11422:{ 11417:1 11408:Z 11402:= 11399:] 11396:m 11393:[ 11390:x 11387:] 11384:m 11378:n 11375:[ 11372:h 11356:= 11353:m 11345:= 11342:] 11339:n 11336:[ 11333:) 11330:x 11324:h 11321:( 11318:= 11315:] 11312:n 11309:[ 11306:y 11264:) 11256:j 11252:e 11248:( 11245:H 11225:) 11222:z 11219:( 11216:H 11196:} 11193:] 11190:n 11187:[ 11184:h 11181:{ 11176:F 11171:= 11168:) 11160:j 11156:e 11152:( 11149:H 11120:j 11116:e 11112:= 11109:z 11087:n 11083:z 11061:R 11032:n 11026:j 11022:e 10997:n 10990:z 10986:] 10983:n 10980:[ 10977:h 10961:= 10958:n 10950:= 10947:} 10944:] 10941:n 10938:[ 10935:h 10932:{ 10927:Z 10922:= 10919:) 10916:z 10913:( 10910:H 10879:) 10876:z 10873:( 10870:H 10844:n 10840:z 10826:z 10810:m 10803:z 10799:] 10796:m 10793:[ 10790:h 10774:= 10771:m 10754:= 10747:) 10744:z 10741:( 10738:H 10718:) 10715:z 10712:( 10709:H 10704:n 10700:z 10696:= 10691:m 10684:z 10679:] 10676:m 10673:[ 10670:h 10654:= 10651:m 10641:n 10637:z 10633:= 10628:) 10625:m 10619:n 10616:( 10612:z 10607:] 10604:m 10601:[ 10598:h 10582:= 10579:m 10547:m 10543:z 10538:] 10535:m 10529:n 10526:[ 10523:h 10507:= 10504:m 10479:] 10476:n 10473:[ 10470:h 10448:n 10444:z 10440:= 10437:] 10434:n 10431:[ 10428:x 10404:C 10397:s 10394:, 10391:z 10385:, 10380:T 10377:s 10373:e 10369:= 10366:z 10345:R 10338:T 10305:Z 10298:n 10276:n 10273:T 10270:s 10266:e 10262:= 10257:n 10253:z 10212:f 10196:, 10193:f 10187:= 10184:f 10179:H 10151:k 10147:h 10143:n 10139:n 10135:n 10131:h 10127:x 10111:n 10107:O 10086:( 10071:, 10068:] 10065:k 10062:[ 10059:h 10053:] 10050:k 10044:n 10041:[ 10038:x 10022:= 10019:k 10011:= 9986:] 9983:k 9977:n 9974:[ 9971:h 9965:] 9962:k 9959:[ 9956:x 9940:= 9937:k 9929:= 9908:] 9905:n 9902:[ 9899:y 9866:. 9863:] 9860:k 9854:n 9851:[ 9848:h 9836:= 9822:} 9819:m 9813:; 9810:] 9807:m 9804:[ 9798:{ 9793:k 9787:n 9783:O 9772:= 9761:} 9758:m 9752:; 9749:] 9746:k 9740:m 9737:[ 9731:{ 9726:n 9722:O 9688:] 9685:k 9679:m 9676:[ 9670:= 9667:] 9664:m 9661:[ 9656:k 9652:x 9631:] 9628:k 9625:[ 9622:x 9619:= 9614:k 9610:c 9576:, 9573:} 9570:m 9564:; 9561:] 9558:k 9552:m 9549:[ 9543:{ 9538:n 9534:O 9527:] 9524:k 9521:[ 9518:x 9502:= 9499:k 9491:= 9480:} 9476:m 9470:; 9467:] 9464:k 9458:m 9455:[ 9446:] 9443:k 9440:[ 9437:x 9421:= 9418:k 9409:{ 9403:n 9399:O 9395:= 9388:} 9385:x 9382:{ 9377:n 9373:O 9369:= 9366:] 9363:n 9360:[ 9357:y 9330:} 9327:x 9324:{ 9302:, 9299:] 9296:k 9290:m 9287:[ 9278:] 9275:k 9272:[ 9269:x 9253:= 9250:k 9239:] 9236:m 9233:[ 9230:x 9210:} 9207:h 9204:{ 9189:) 9185:( 9163:. 9160:} 9157:x 9154:{ 9149:k 9143:n 9139:O 9126:= 9112:] 9109:k 9103:n 9100:[ 9097:y 9087:= 9076:} 9073:m 9067:; 9064:] 9061:k 9055:m 9052:[ 9049:x 9046:{ 9041:n 9037:O 9012:) 9008:( 8991:. 8988:} 8983:k 8979:x 8975:{ 8970:n 8966:O 8957:k 8953:c 8936:= 8933:k 8925:= 8921:} 8917:m 8911:; 8908:] 8905:m 8902:[ 8897:k 8893:x 8884:k 8880:c 8863:= 8860:k 8851:{ 8845:n 8841:O 8815:O 8793:. 8790:} 8787:m 8781:; 8778:] 8775:m 8772:[ 8766:{ 8761:n 8757:O 8744:= 8737:] 8734:n 8731:[ 8728:h 8704:, 8701:] 8698:m 8695:[ 8689:= 8686:] 8683:m 8680:[ 8677:x 8660:n 8656:x 8652:y 8648:n 8644:n 8628:. 8625:} 8622:x 8619:{ 8614:n 8610:O 8597:= 8590:] 8587:n 8584:[ 8581:y 8561:O 8541:. 8538:} 8535:y 8532:{ 8512:} 8509:x 8506:{ 8484:. 8481:} 8478:m 8472:; 8469:] 8466:m 8463:[ 8460:x 8457:{ 8437:} 8434:x 8431:{ 8409:. 8406:} 8403:m 8395:; 8392:] 8389:k 8383:m 8380:[ 8377:x 8374:{ 8354:} 8351:m 8345:; 8342:] 8339:k 8333:m 8330:[ 8327:x 8324:{ 8286:T 8272:, 8268:Z 8261:n 8253:) 8250:T 8247:n 8244:( 8241:x 8229:= 8220:n 8216:x 8187:) 8184:t 8181:( 8178:x 8138:0 8132:t 8108:0 8102:t 8067:j 8064:= 8061:s 8035:. 8026:t 8022:d 8016:| 8012:) 8009:t 8006:( 8003:h 7999:| 7977:= 7972:1 7964:) 7961:t 7958:( 7955:h 7942:L 7928:) 7925:t 7922:( 7919:h 7899:) 7896:t 7893:( 7890:y 7870:) 7867:t 7864:( 7861:x 7819:) 7816:t 7813:( 7810:y 7766:) 7763:t 7760:( 7757:x 7705:) 7702:t 7699:( 7696:h 7674:, 7671:0 7665:t 7658:0 7655:= 7652:) 7649:t 7646:( 7643:h 7592:. 7587:2 7584:1 7575:| 7571:t 7567:| 7556:0 7549:, 7544:2 7541:1 7532:| 7528:t 7524:| 7513:1 7507:{ 7493:= 7486:) 7483:t 7480:( 7457:, 7450:d 7445:) 7439:( 7436:x 7432:) 7426:a 7423:2 7418:t 7406:( 7381:= 7377:} 7373:) 7370:t 7367:( 7364:x 7360:{ 7354:A 7332:) 7329:t 7326:( 7298:A 7272:, 7269:) 7260:t 7257:( 7254:} 7251:x 7248:{ 7243:A 7238:= 7224:d 7219:) 7213:( 7210:x 7205:a 7202:+ 7199:) 7190:t 7187:( 7182:a 7176:) 7167:t 7164:( 7156:= 7142:d 7137:) 7125:( 7122:x 7117:a 7114:+ 7111:t 7106:a 7100:t 7092:= 7084:} 7080:) 7071:t 7068:( 7065:x 7061:{ 7055:A 7025:, 7022:} 7019:) 7016:t 7013:( 7008:2 7004:x 7000:{ 6995:A 6988:2 6984:c 6980:+ 6977:} 6974:) 6971:t 6968:( 6963:1 6959:x 6955:{ 6950:A 6943:1 6939:c 6935:= 6921:d 6916:) 6910:( 6905:2 6901:x 6895:a 6892:+ 6889:t 6884:a 6878:t 6868:2 6864:c 6860:+ 6853:d 6848:) 6842:( 6837:1 6833:x 6827:a 6824:+ 6821:t 6816:a 6810:t 6800:1 6796:c 6792:= 6778:d 6773:) 6770:) 6764:( 6759:2 6755:x 6749:2 6745:c 6741:+ 6738:) 6732:( 6727:1 6723:x 6717:1 6713:c 6709:( 6704:a 6701:+ 6698:t 6693:a 6687:t 6679:= 6672:} 6669:) 6666:t 6663:( 6658:2 6654:x 6648:2 6644:c 6640:+ 6637:) 6634:t 6631:( 6626:1 6622:x 6616:1 6612:c 6608:{ 6603:A 6577:. 6570:d 6565:) 6559:( 6556:x 6551:a 6548:+ 6545:t 6540:a 6534:t 6517:= 6509:} 6505:) 6502:t 6499:( 6496:x 6492:{ 6486:A 6460:) 6457:s 6454:( 6451:X 6448:s 6445:= 6441:} 6437:) 6434:t 6431:( 6428:x 6422:t 6418:d 6412:d 6405:{ 6399:L 6387:s 6369:) 6360:t 6357:( 6350:x 6346:= 6343:) 6334:t 6331:( 6328:x 6322:t 6318:d 6312:d 6287:) 6284:t 6281:( 6273:2 6269:x 6263:2 6259:c 6255:+ 6252:) 6249:t 6246:( 6238:1 6234:x 6228:1 6224:c 6220:= 6216:) 6212:) 6209:t 6206:( 6201:2 6197:x 6191:2 6187:c 6183:+ 6180:) 6177:t 6174:( 6169:1 6165:x 6159:1 6155:c 6150:( 6143:t 6139:d 6133:d 6104:s 6102:( 6100:H 6096:f 6092:s 6090:( 6088:H 6079:ω 6069:s 6051:. 6048:} 6045:) 6042:s 6039:( 6036:X 6033:) 6030:s 6027:( 6024:H 6021:{ 6016:1 6007:L 5992:= 5981:d 5976:) 5970:( 5967:x 5964:) 5955:t 5952:( 5949:h 5919:= 5912:) 5909:t 5906:( 5903:) 5900:x 5894:h 5891:( 5888:= 5885:) 5882:t 5879:( 5876:y 5845:t 5816:) 5810:j 5807:( 5804:H 5784:) 5781:s 5778:( 5775:H 5755:} 5752:) 5749:t 5746:( 5743:h 5740:{ 5735:F 5730:= 5727:) 5721:j 5718:( 5715:H 5690:1 5673:= 5666:j 5645:R 5616:t 5610:j 5606:e 5585:t 5581:d 5574:t 5571:s 5564:e 5560:) 5557:t 5554:( 5551:h 5541:0 5524:= 5517:} 5514:) 5511:t 5508:( 5505:h 5502:{ 5497:L 5483:= 5476:) 5473:s 5470:( 5467:H 5428:i 5424:e 5403:) 5400:0 5397:( 5394:] 5391:v 5388:[ 5385:H 5374:i 5370:e 5366:= 5363:) 5357:( 5354:] 5351:v 5348:[ 5345:H 5325:0 5322:= 5319:t 5299:) 5296:t 5293:( 5290:] 5287:v 5284:[ 5281:H 5276:a 5270:i 5266:e 5262:= 5259:) 5256:a 5253:+ 5250:t 5247:( 5244:] 5241:v 5238:[ 5235:H 5212:H 5192:) 5189:a 5186:+ 5183:t 5180:( 5177:] 5174:v 5171:[ 5168:H 5165:= 5162:) 5159:t 5156:( 5153:] 5148:a 5144:v 5140:[ 5137:H 5113:a 5107:i 5103:e 5082:) 5079:t 5076:( 5073:] 5070:v 5067:[ 5064:H 5059:a 5053:i 5049:e 5045:= 5042:) 5039:t 5036:( 5033:] 5028:a 5024:v 5020:[ 5017:H 4993:) 4990:a 4987:+ 4984:t 4981:( 4975:i 4971:e 4967:= 4964:) 4961:t 4958:( 4953:a 4949:v 4926:t 4920:i 4916:e 4912:= 4909:) 4906:t 4903:( 4900:v 4869:) 4866:s 4863:( 4860:H 4830:t 4827:s 4823:e 4819:A 4799:) 4796:s 4793:( 4790:H 4768:t 4765:s 4761:e 4757:A 4736:C 4729:s 4726:, 4723:A 4710:s 4696:t 4692:d 4685:t 4682:s 4675:e 4671:) 4668:t 4665:( 4662:h 4632:= 4625:) 4622:s 4619:( 4616:H 4590:, 4564:) 4561:s 4558:( 4555:H 4543:f 4520:t 4517:s 4513:e 4509:A 4499:= 4485:d 4475:s 4468:e 4463:) 4457:( 4454:h 4431:t 4428:s 4424:e 4420:A 4417:= 4403:d 4393:s 4386:e 4380:t 4377:s 4373:e 4369:A 4365:) 4359:( 4356:h 4335:= 4326:f 4321:H 4305:d 4298:) 4289:t 4286:( 4283:s 4279:e 4275:A 4271:) 4265:( 4262:h 4208:d 4198:s 4194:e 4190:A 4187:) 4178:t 4175:( 4172:h 4134:) 4131:t 4128:( 4125:h 4103:t 4100:s 4096:e 4092:A 4089:= 4086:) 4083:t 4080:( 4077:x 4044:C 4037:s 4034:, 4031:A 4009:t 4006:s 4002:e 3998:A 3958:f 3944:, 3941:f 3935:= 3932:f 3927:H 3882:} 3879:x 3876:{ 3849:. 3846:) 3843:t 3840:( 3837:y 3825:= 3810:} 3806:u 3800:; 3797:) 3794:u 3791:( 3788:x 3784:{ 3778:t 3774:O 3770:= 3759:} 3755:u 3749:; 3742:d 3737:) 3728:u 3725:( 3716:) 3710:( 3707:x 3685:{ 3679:t 3675:O 3671:= 3664:) 3661:t 3658:( 3655:) 3652:h 3646:x 3643:( 3612:. 3609:) 3600:u 3597:( 3591:= 3588:) 3585:u 3582:( 3573:x 3552:) 3546:( 3543:x 3540:= 3531:c 3497:, 3490:d 3485:} 3482:u 3476:; 3473:) 3464:u 3461:( 3455:{ 3450:t 3446:O 3439:) 3433:( 3430:x 3409:= 3395:d 3390:) 3381:t 3378:( 3375:h 3369:) 3363:( 3360:x 3339:= 3332:) 3329:t 3326:( 3323:) 3320:h 3314:x 3311:( 3270:. 3267:} 3264:u 3258:; 3255:) 3246:u 3243:( 3237:{ 3232:t 3228:O 3224:= 3199:} 3196:u 3190:; 3187:) 3184:u 3181:( 3175:{ 3164:t 3160:O 3147:= 3122:) 3113:t 3110:( 3107:h 3078:. 3075:} 3072:u 3066:; 3063:) 3060:u 3057:( 3051:{ 3046:t 3042:O 3029:= 3022:) 3019:t 3016:( 3013:h 2994:) 2990:( 2968:. 2965:} 2962:x 2959:{ 2948:t 2944:O 2931:= 2917:) 2908:t 2905:( 2902:y 2892:= 2881:} 2878:u 2872:; 2869:) 2860:u 2857:( 2854:x 2851:{ 2846:t 2842:O 2817:) 2813:( 2796:. 2789:d 2782:} 2773:x 2769:{ 2764:t 2760:O 2749:) 2746:t 2743:( 2734:y 2717:c 2695:= 2691:} 2687:u 2681:; 2674:d 2669:) 2666:u 2663:( 2654:x 2641:c 2618:{ 2612:t 2608:O 2576:O 2553:t 2533:t 2513:x 2493:) 2490:t 2487:( 2484:y 2464:t 2442:t 2438:O 2417:, 2414:} 2411:x 2408:{ 2403:t 2399:O 2386:= 2379:) 2376:t 2373:( 2370:y 2350:} 2347:y 2344:{ 2324:, 2321:} 2318:x 2315:{ 2295:} 2292:u 2286:; 2283:) 2280:u 2277:( 2274:x 2271:{ 2251:} 2248:x 2245:{ 2205:u 2185:) 2176:u 2173:( 2170:x 2150:} 2147:u 2141:; 2138:) 2129:u 2126:( 2123:x 2120:{ 2093:t 2073:x 2053:) 2050:t 2047:( 2044:y 2004:) 1998:( 1995:h 1975:t 1955:t 1935:) 1926:( 1923:h 1903:) 1897:( 1894:x 1874:) 1871:t 1868:( 1865:y 1845:) 1839:( 1833:= 1830:) 1824:( 1821:x 1797:) 1794:t 1791:( 1788:h 1753:, 1746:d 1741:) 1732:t 1729:( 1726:h 1720:) 1714:( 1711:x 1690:= 1661:d 1656:) 1650:( 1647:h 1641:) 1632:t 1629:( 1626:x 1600:f 1597:e 1594:d 1588:= 1563:) 1560:t 1557:( 1554:) 1551:h 1545:x 1542:( 1539:= 1536:) 1533:t 1530:( 1527:y 1510:t 1508:( 1506:y 1502:t 1500:( 1498:x 1406:s 1384:s 1380:A 1375:/ 1369:s 1365:B 1342:s 1338:B 1315:t 1312:s 1308:e 1302:s 1298:B 1277:s 1255:s 1251:A 1228:t 1225:s 1221:e 1215:s 1211:A 1145:h 1141:x 1137:y 1121:i 1117:h 1108:i 1104:x 1100:= 1095:i 1091:y 1062:) 1059:t 1056:( 1053:h 1033:) 1030:t 1027:( 1024:x 1000:) 997:t 994:( 991:y 963:) 960:T 954:t 951:( 948:y 928:) 925:T 919:t 916:( 913:x 893:) 890:t 887:( 884:y 864:) 861:t 858:( 855:x 845:T 841:T 833:. 817:) 814:t 811:( 804:x 782:) 779:t 776:( 773:x 763:, 750:a 730:) 727:t 724:( 717:y 713:+ 710:) 707:t 704:( 701:y 681:) 678:t 675:( 668:x 664:+ 661:) 658:t 655:( 652:x 632:) 629:t 626:( 619:y 598:) 595:t 592:( 585:x 564:) 561:t 558:( 555:y 552:a 532:) 529:t 526:( 523:x 520:a 500:a 480:) 477:t 474:( 471:y 451:) 448:t 445:( 442:x 326:) 324:t 322:( 320:h 311:) 309:t 307:( 305:h 300:) 298:t 294:h 290:x 286:t 284:( 282:y 273:) 271:t 269:( 267:x 262:) 260:t 258:( 256:y 233:( 219:) 217:t 215:( 213:2 210:x 206:t 204:( 202:1 199:x 193:0 190:t 186:2 183:a 179:1 176:a 171:t 167:) 165:0 162:t 158:t 156:( 154:2 151:y 148:2 145:a 141:0 138:t 134:t 132:( 130:1 127:y 124:1 121:a 117:t 115:( 113:3 110:y 83:) 77:( 72:) 68:( 54:. 20:)

Index

LTI systems
references
inline citations
improve
introducing
Learn how and when to remove this message

Block diagram
superposition principle
superposition principle
system analysis
system
linearity
time-invariance
convolution
impulse response
electrical circuit
resistors
capacitors
inductors
linear amplifiers
image processing
discrete-time
sampled
applied mathematics
electrical circuit analysis and design
signal processing
filter design
control theory
mechanical engineering

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