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Spectral density

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4707: 36: 4049: 48: 4702:{\displaystyle {\begin{aligned}\left|{\hat {x}}_{T}(f)\right|^{2}&=^{*}\cdot {\hat {x}}_{T}(f)\\&={\mathcal {F}}\left\{x_{T}^{*}(-t)\right\}\cdot {\mathcal {F}}\left\{x_{T}(t)\right\}\\&={\mathcal {F}}\left\{u(t)\right\}\cdot {\mathcal {F}}\left\{x_{T}(t)\right\}\\&={\mathcal {F}}\left\{u(t)\mathbin {\mathbf {*} } x_{T}(t)\right\}\\&=\int _{-\infty }^{\infty }\lefte^{-i2\pi f\tau }d\tau \\&=\int _{-\infty }^{\infty }\lefte^{-i2\pi f\tau }\ d\tau ,\end{aligned}}} 9137: 8190: 3985: 2346: 7174: 7641: 3449: 61: 6758: 5191: 6153:) approaches infinity and the expected value is formally applied. In a real-world application, one would typically average a finite-measurement PSD over many trials to obtain a more accurate estimate of the theoretical PSD of the physical process underlying the individual measurements. This computed PSD is sometimes called a 2193: 8185:{\displaystyle {\begin{aligned}S_{xy}(f)&=\int _{-\infty }^{\infty }\lefte^{-i2\pi f\tau }d\tau =\int _{-\infty }^{\infty }R_{xy}(\tau )e^{-i2\pi f\tau }d\tau \\S_{yx}(f)&=\int _{-\infty }^{\infty }\lefte^{-i2\pi f\tau }d\tau =\int _{-\infty }^{\infty }R_{yx}(\tau )e^{-i2\pi f\tau }d\tau ,\end{aligned}}} 3980:{\displaystyle {\begin{aligned}{\mathcal {F}}\left\{x_{T}^{*}(-t)\right\}&=\int _{-\infty }^{\infty }x_{T}^{*}(-t)e^{-i2\pi ft}dt\\&=\int _{-\infty }^{\infty }x_{T}^{*}(t)e^{i2\pi ft}dt\\&=\int _{-\infty }^{\infty }x_{T}^{*}(t)^{*}dt\\&=\left^{*}\\&=\left^{*}\\&=\left^{*}\end{aligned}}} 7455: 9075:
of the spectrum is rather constant, since variations in the ASD will then be proportional to variations in the signal's voltage level itself. But it is mathematically preferred to use the PSD, since only in that case is the area under the curve meaningful in terms of actual power over all frequency
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time, or over a time period large enough (especially in relation to the duration of a measurement) that it could as well have been over an infinite time interval. The PSD then refers to the spectral energy distribution that would be found per unit time, since the total energy of such a signal over
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of a signal or time series is distributed over frequency, as in the simple example given previously. Here, power can be the actual physical power, or more often, for convenience with abstract signals, is simply identified with the squared value of the signal. For example, statisticians study the
9111:) and even the regular rotation of the earth. When these signals are viewed in the form of a frequency spectrum, certain aspects of the received signals or the underlying processes producing them are revealed. In some cases the frequency spectrum may include a distinct peak corresponding to a 4870: 5734:
are not independent. Just using a single such time series, the estimated power spectrum will be very "noisy"; however this can be alleviated if it is possible to evaluate the expected value (in the above equation) using a large (or infinite) number of short-term spectra corresponding to
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The above definition of energy spectral density is suitable for transients (pulse-like signals) whose energy is concentrated around one time window; then the Fourier transforms of the signals generally exist. For continuous signals over all time, one must rather define the
7169:{\displaystyle {\begin{aligned}P&=\lim _{T\to \infty }{\frac {1}{T}}\int _{-\infty }^{\infty }\left^{*}\leftdt\\&=\lim _{T\to \infty }{\frac {1}{T}}\int _{-\infty }^{\infty }|x_{T}(t)|^{2}+x_{T}^{*}(t)y_{T}(t)+y_{T}^{*}(t)x_{T}(t)+|y_{T}(t)|^{2}dt\\\end{aligned}}} 1970: 493:
In the general case, the units of PSD will be the ratio of units of variance per unit of frequency; so, for example, a series of displacement values (in meters) over time (in seconds) will have PSD in units of meters squared per hertz, m/Hz. In the analysis of random
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However, for the sake of dealing with the math that follows, it is more convenient to deal with time limits in the signal itself rather than time limits in the bounds of the integral. As such, we have an alternative representation of the average power, where
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The spectral density is a function of frequency, not a function of time. However, the spectral density of a small window of a longer signal may be calculated, and plotted versus time associated with the window. Such a graph is called a
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However this article concentrates on situations in which the time series is known (at least in a statistical sense) or directly measured (such as by a microphone sampled by a computer). The power spectrum is important in
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simply sinusoidal. Or a continuous spectrum may show narrow frequency intervals which are strongly enhanced corresponding to resonances, or frequency intervals containing almost zero power as would be produced by a
9281: 6578: 5186:{\displaystyle \lim _{T\to \infty }{\frac {1}{T}}\left|{\hat {x}}_{T}(f)\right|^{2}=\int _{-\infty }^{\infty }\lefte^{-i2\pi f\tau }\ d\tau =\int _{-\infty }^{\infty }R_{xx}(\tau )e^{-i2\pi f\tau }d\tau } 717: 5565:, an equal amount of power can be attributed to positive and negative frequency bands, which accounts for the factor of 2 in the following form (such trivial factors depend on the conventions used): 2956:
Clearly, in cases where the above expression for P is non-zero, the integral must grow without bound as T grows without bound. That is the reason why we cannot use the energy of the signal, which
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cannot generally be uniquely recovered from the power spectral density alone without the phase part. Although these are also Fourier transform pairs, there is no symmetry (as there is for the
8682: 2595: 3037: 1078: 216:, any physical signal can be decomposed into a number of discrete frequencies, or a spectrum of frequencies over a continuous range. The statistical average of any sort of signal (including 9440: 5894: 1965: 2188:{\displaystyle {\bar {S}}_{xx}(f)=\lim _{N\to \infty }(\Delta t)^{2}\underbrace {\left|\sum _{n=-N}^{N}x_{n}e^{-i2\pi fn\,\Delta t}\right|^{2}} _{\left|{\hat {x}}_{d}(f)\right|^{2}},} 9493:
does not need to be absolutely integrable, it only needs to exist. But the integral can no longer be interpreted as usual. The formula also makes sense if interpreted as involving
7602: 3356: 470:, for instance, there is no unique power associated with the stated amplitude. In this case "power" is simply reckoned in terms of the square of the signal, as this would always be 248:
or integration of the spectral components yields the total power (for a physical process) or variance (in a statistical process), identical to what would be obtained by integrating
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approaches, and may be based on time-domain or frequency-domain analysis. For example, a common parametric technique involves fitting the observations to an
7608:. Just as before, from here we recast these products as the Fourier transform of a time convolution, which when divided by the period and taken to the limit 2404:(or over another independent variable), and using an analogy with electrical signals (among other physical processes), it is customary to refer to it as the 3164: 517:
Mathematically, it is not necessary to assign physical dimensions to the signal or to the independent variable. In the following discussion the meaning of
9196:, density variations in the early universe, are quantified by a power spectrum which gives the power of the variations as a function of spatial scale. 9091:
Any signal that can be represented as a variable that varies in time has a corresponding frequency spectrum. This includes familiar entities such as
393:, or when a sound is perceived through its effect on the auditory receptors of the inner ear, each of which is sensitive to a particular frequency. 79: 8974:
A "spectrum" generally means the power spectral density, as discussed above, which depicts the distribution of signal content over frequency. For
1178: 1019:). The theorem also holds true in the discrete-time cases. Since the integral on the left-hand side is the energy of the signal, the value of 9012:
of a transfer function, which also includes a phase (or equivalently, a real and imaginary part) as a function of frequency. The time-domain
2326:  But in the mathematical sciences the interval is often set to 1, which simplifies the results at the expense of generality. (also see 227:
When the energy of the signal is concentrated around a finite time interval, especially if its total energy is finite, one may compute the
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Note that a single estimate of the PSD can be obtained through a finite number of samplings. As before, the actual PSD is achieved when
385:, and generalizations based on Fourier analysis. In many cases the time domain is not specifically employed in practice, such as when a 1854:
of the energy spectral density has units of J Hz, as required. In many situations, it is common to forget the step of dividing by
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This article is about signal processing and relation of spectra to time-series. For further applications in the physical sciences, see
9622: 6106:{\displaystyle S_{xx}(f)=\lim _{N\to \infty }{\frac {(\Delta t)^{2}}{T}}\left|\sum _{n=-N}^{N}x_{n}e^{-i2\pi fn\,\Delta t}\right|^{2}} 5678:
is finite rather than approaching infinity. This results in decreased spectral coverage and resolution since frequencies of less than
9278:, p. 30) still use the non-normalized Fourier transform in a formal way to formulate a definition of the power spectral density 710:
The energy spectral density is most suitable for transients—that is, pulse-like signals—having a finite total energy. Finite or not,
413:. Typically the process is a function of time, but one can similarly discuss data in the spatial domain being decomposed in terms of 8887:
of a signal is the midpoint of its spectral density function, i.e. the frequency that divides the distribution into two equal parts.
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Using the same notation and methods as used for the power spectral density derivation, we exploit Parseval's theorem and obtain
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can similarly be calculated; as the PSD is related to the autocorrelation, so is the cross-spectral density related to the
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More generally, similar techniques may be used to estimate a time-varying spectral density. In this case the time interval
9395:{\displaystyle \langle {\hat {x}}(\omega ){\hat {x}}^{\ast }(\omega ')\rangle =2\pi f(\omega )\delta (\omega -\omega '),} 8874: 8862: 10293: 1084:
multiplied by an infinitesimally small frequency interval, describing the energy contained in the signal at frequency
1022: 847:{\displaystyle \int _{-\infty }^{\infty }|x(t)|^{2}\,dt=\int _{-\infty }^{\infty }\left|{\hat {x}}(f)\right|^{2}\,df,} 451:
present in the signal as a function of frequency, per unit frequency. Power spectral density is commonly expressed in
10153: 97: 9446:. Such formal statements may sometimes be useful to guide the intuition, but should always be used with utmost care. 9071:), which is the square root of the PSD; the ASD of a voltage signal has units of V Hz. This is useful when the 9502: 381:
as it fluctuates at an extremely high frequency. Obtaining a spectrum from time series such as these involves the
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are usually restricted to positive frequencies by convention. Therefore, in typical signal processing, the full
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from a sequence of time samples. Depending on what is known about the signal, estimation techniques can involve
9405: 6157:. This periodogram converges to the true PSD as the number of estimates as well as the averaging time interval 5840: 1911: 545:
but with only half the amplitude. Noise PSDs are generally one-sided in engineering and two-sided in physics.
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Just as with the energy spectral density, the definition of the power spectral density can be generalized to
5375:{\displaystyle S_{xx}(f)=\int _{-\infty }^{\infty }R_{xx}(\tau )e^{-i2\pi f\tau }\,d\tau ={\hat {R}}_{xx}(f)} 3299: 398: 2949:{\displaystyle P=\lim _{T\to \infty }{\frac {1}{T}}\int _{-\infty }^{\infty }\left|x_{T}(t)\right|^{2}\,dt.} 2353:
temperature anisotropy in terms of the angular scale. The solid line is a theoretical model, for comparison.
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is needed to keep the correct physical units and to ensure that we recover the continuous case in the limit
9182: 8964: 7604:, so the full contribution to the cross power is, generally, from twice the real part of either individual 2740: 20: 8806:{\displaystyle S_{xy}(f)=\sum _{n=-\infty }^{\infty }R_{xy}(\tau _{n})e^{-i2\pi f\tau _{n}}\,\Delta \tau } 6208: 5501: 4739: 2727:{\displaystyle P=\lim _{T\to \infty }{\frac {1}{T}}\int _{t_{0}-T/2}^{t_{0}+T/2}\left|x(t)\right|^{2}\,dt} 10205: 9456: 9245: 9230: 8821: 6201:
The power spectrum is always real and non-negative, and the spectrum of a real valued process is also an
5455: 5225: 5224:, that the power spectral density can be found as the Fourier transform of the autocorrelation function ( 3146:{\displaystyle P=\lim _{T\to \infty }{\frac {1}{T}}\int _{-\infty }^{\infty }|{\hat {x}}_{T}(f)|^{2}\,df} 2339: 2327: 1363: 5899: 3990: 1556: 1284: 43:
as a function of optical wavelength shows peaks at atomic transitions, indicated by the numbered arrows.
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resistor (so that all of the pulse energy is delivered to the resistor and none is reflected back). By
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with respect to time over the duration of the pulse. To find the value of the energy spectral density
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of the spectrum density. It describes one point in time (one window, to be precise). For example, in
8839: 6297: 5805: 2300: 9003: 8946: 8533: 8495: 8296: 8195: 4798: 3369: 3030:; however, for many signals of interest the Fourier transform does not formally exist. Regardless, 2995: 1817: 1700: 9049: 7611: 10323: 9193: 6580:
Note that the previous expression for total power (signal variance) is a special case where 
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As a physical example of how one might measure the energy spectral density of a signal, suppose
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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions
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signal with frequency on the horizontal axis and time increasing upwards on the vertical axis.
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of a light source is determined by the spectrum of the electromagnetic wave's electric field
285: 9508: 9466: 2247: 525:) will remain unspecified, but the independent variable will be assumed to be that of time. 9630: 9536: 9443: 8983: 8843: 5778: 5736: 1884: 1415: 475: 436: 426: 9787: 9018: 8986:) the complete frequency response may be graphed in two parts: power versus frequency and 8466: 8437: 8364: 8335: 8267: 8238: 6635: 6606: 6458: 5742: 5198: 4837: 4769: 2966: 2513: 2415: 2378: 1784: 1651: 1376: 1336: 1143: 1107: 966: 600: 355: 294: 162: 75: 8: 10313: 9235: 9157: 5709: 5681: 4710: 3293: 714:(or Plancherel's theorem) gives us an alternate expression for the energy of the signal: 217: 10272: 9986: 9930: 9905: 9250: 9008: 6276: 6160: 6136: 6116: 5661: 4719: 2542: 2493: 2363: 1878: 1857: 1680: 1604: 1448: 1438: 1420: 1403: 1087: 998: 952:{\displaystyle {\hat {x}}(f)\triangleq \int _{-\infty }^{\infty }e^{-i2\pi ft}x(t)\ dt} 580: 542: 402: 323: 195: 10226: 5409: 10210: 10106: 10087: 10068: 10049: 10032: 10022: 10003: 9990: 9978: 9935: 9906:"A Low Computational Cost Algorithm for REM Sleep Detection Using Single Channel EEG" 9890: 9871: 9852: 9730: 9169: 8975: 8883: 8854: 8827: 8232: 7635: 6185: 3359: 3268:{\displaystyle S_{xx}(f)=\lim _{T\to \infty }{\frac {1}{T}}|{\hat {x}}_{T}(f)|^{2}\,} 1411: 960: 414: 382: 111: 40: 10241: 2448:, then indeed the instantaneous power dissipated in that resistor would be given by 1877:
This definition generalizes in a straightforward manner to a discrete signal with a
1367: 10257: 10139: 9968: 9960: 9925: 9917: 9498: 9240: 9013: 6392:{\displaystyle P=\operatorname {Var} (x)=\int _{-\infty }^{\infty }\!S_{xx}(f)\,df} 6310:(average power) of a process by integrating the power spectrum over all frequency: 1081: 483: 386: 213: 8679:, the relationship between the cross-spectral density and the cross-covariance is 9255: 9215: 9104: 9045: 5706:
are not sampled, and results at frequencies which are not an integer multiple of
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over all time is therefore given by the following time average, where the period
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of a musical instrument are immediately determined from a spectral analysis. The
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even when there is no physical power involved. If one were to create a physical
701:{\displaystyle E\triangleq \int _{-\infty }^{\infty }\left|x(t)\right|^{2}\ dt.} 10303: 9964: 9165: 8950: 8938: 8934: 8918:
monitoring, in which case SEF has variously been used to estimate the depth of
29: 9921: 47: 10287: 10036: 9100: 9092: 8987: 8831: 6202: 5772: 5651:{\displaystyle P_{\textsf {bandlimited}}=2\int _{f_{1}}^{f_{2}}S_{xx}(f)\,df} 341: 51:
The voice waveform over time (left) has a broad audio power spectrum (right).
8963:. This is the basis of a number of spectral analysis techniques such as the 8914:
is in the range 75 to 95. It is more particularly a popular measure used in
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dissipated across the resistor. The value of the energy spectral density at
10267: 10183: 9982: 9973: 9939: 9564: 9125: 8942: 8858: 6755:). To begin, let us consider the average power of such a combined signal. 1442: 1257:{\displaystyle {\bar {S}}_{xx}(f)\triangleq \left|{\hat {x}}(f)\right|^{2}} 577:
is used in the generalized sense of signal processing; that is, the energy
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Then the power spectral density is simply defined as the integrand above.
10262: 10188: 9057: 9053: 8959: 8847: 8652:{\displaystyle \operatorname {CPSD} _{\text{Full}}=2S_{xy}(f)=2S_{yx}(f)} 8390:. In light of this, the PSD is seen to be a special case of the CSD for 6154: 3363: 570: 410: 10131: 9794: 9148:
The concept and use of the power spectrum of a signal is fundamental in
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properties, as defined by the range of brightness levels in each of the
1648:, say) near the frequency of interest and then measure the total energy 10216: 9568: 9205: 9136: 9108: 8919: 440: 9539:
can be used to prove that its Fourier transform exists as a positive
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percent of the total power of a given signal are located; typically,
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are real signals (e.g. voltage or current), their Fourier transforms
3446:, where * represents the complex conjugate. Taking into account that 993: 495: 487: 245: 9951:(2017). "An Ultralow-Power Sleep Spindle Detection System on Chip". 9806: 9680: 1874:
so that the energy spectral density instead has units of V Hz.
1621:, one could insert between the transmission line and the resistor a 9141: 9086: 8968: 6307: 2445: 2372: 2345: 452: 221: 558:"Energy spectral density" redirects here. Not to be confused with 10162: 9851:. Berlin ; New York: Springer Science & Business Media. 9692: 4864: 2409: 511: 467: 432: 406: 28:"Spectral power density" redirects here. Not to be confused with 9115:
component. And additionally there may be peaks corresponding to
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Relative importance of certain frequencies in a composite signal
9827:"The Fundamentals of FFT-Based Signal Analysis and Measurement" 6180:
If two signals both possess power spectral densities, then the
345: 220:) as analyzed in terms of its frequency content, is called its 157: 9668: 9644: 9006:
of the transfer function. This is not to be confused with the
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of a fundamental peak, indicating a periodic signal which is
9096: 8923: 1811: 460: 349: 9946: 9800: 8945:, the spectral envelope of a feature is the boundary of its 3034:
tells us that we can re-write the average power as follows.
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Now, if we divide the time convolution above by the period
2992:, one might like to compute the ordinary Fourier transform 2484: 1407: 456: 10046:
Fundamentals of Noise and Vibration Analysis for Engineers
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form a Fourier transform pair, a result also known as the
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to the actual power delivered by that signal into a given
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often contains essential information about the nature of
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An Introduction to the Theory of Random Signals and Noise
9767: 8915: 5498:, can be calculated by integrating over frequency. Since 4713:
has been used when passing from the 3rd to the 4th line.
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is unity within the arbitrary period and zero elsewhere.
2442: 9903: 9812: 9656: 9590: 9048:) forcing the Fourier transform to be real-valued. See 4867:, which is true in most, but not all, practical cases. 1016: 9904:
Imtiaz, Syed Anas; Rodriguez-Villegas, Esther (2014).
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IEEE Transactions on Biomedical Circuits and Systems
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Davenport, Wilbur B. (Jr); Root, William L. (1987).
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The spectrum analyzer measures the magnitude of the
10086:. New York: Springer Science & Business Media. 9866:Brown, Robert Grover; Hwang, Patrick Y. C. (1997). 6573:{\displaystyle F(f)=2\int _{0}^{f}S_{xx}(f')\,df'.} 6488:power contained in frequencies from DC to f using: 5195:From here we see, again assuming the ergodicity of 478:. So one might use units of V Hz for the PSD. 70:
may be too technical for most readers to understand
10002:. West Sussex, England ; Hoboken, NJ: Wiley. 9722: 9527: 9485: 9434: 9394: 9036: 8805: 8651: 8560: 8522: 8484: 8455: 8426: 8382: 8353: 8324: 8285: 8256: 8223: 8184: 7626: 7596: 7527: 7488: 7449: 7168: 6731: 6692: 6653: 6624: 6572: 6476: 6440: 6391: 6264: 6169: 6145: 6125: 6105: 5936: 5888: 5829: 5794: 5760: 5726: 5698: 5670: 5650: 5557: 5490: 5444: 5406:The power of the signal in a given frequency band 5374: 5216: 5185: 4855: 4826: 4787: 4754: 4728: 4701: 4038: 3979: 3438: 3402: 3350: 3267: 3145: 3022: 2984: 2948: 2835: 2799: 2726: 2584: 2551: 2531: 2502: 2476: 2433: 2396: 2318: 2289: 2266: 2232: 2187: 1959: 1900: 1866: 1846: 1802: 1773: 1729: 1689: 1669: 1640: 1613: 1593: 1545: 1501: 1457: 1429: 1394: 1354: 1321: 1256: 1161: 1125: 1096: 1072: 1007: 984: 951: 846: 700: 618: 589: 482:(ESD) would have units of V s Hz, since 373: 332: 312: 276: 204: 180: 145: 10062: 9686: 9674: 9650: 6661:, each of which possess power spectral densities 6359: 2963:In analyzing the frequency content of the signal 1625:which passes only a narrow range of frequencies ( 10285: 10063:Oppenheim, Alan V.; Verghese, George C. (2016). 9578: 8853:The spectral density is usually estimated using 7967: 7702: 7347: 7219: 6946: 6777: 6292:) can be reconstructed from its power spectrum S 5977: 4972: 4875: 3194: 3048: 2857: 2606: 2009: 1073:{\displaystyle \left|{\hat {x}}(f)\right|^{2}df} 9785: 9563: 6592: 10016: 9761: 9710: 9698: 8826:The goal of spectral density estimation is to 1509:, so the total energy is found by integrating 1445:, the power delivered to the resistor at time 573:is distributed with frequency. Here, the term 10147: 10043: 9884: 9825:Michael Cerna & Audrey F. Harvey (2000). 9773: 9596: 1410:) of an electrical pulse propagating along a 486:has units of power multiplied by time (e.g., 9342: 9285: 9107:(specified by their frequency, or sometimes 1437:, and suppose the line is terminated with a 502: Hz are frequently used for the PSD of 466:When a signal is defined in terms only of a 10198: 10081: 9275: 8846:. A common non-parametric technique is the 6181: 5399:Many authors use this equality to actually 1908:such as a signal sampled at discrete times 537:function of only positive frequencies or a 389:is used to obtain a spectrum of light in a 10154: 10140: 9865: 9749: 9559: 9557: 9555: 9168:technology. Electronic instruments called 9002:. Less commonly, the two parts may be the 5837:with the signal sampled at discrete times 5768:evaluated over the specified time window. 565:Energy spectral density describes how the 553: 239:), which applies to signals existing over 10161: 10105:. New York Weinheim: Wiley-Interscience. 10048:. Cambridge: Cambridge University Press. 9972: 9929: 9435:{\displaystyle \delta (\omega -\omega ')} 9131: 8796: 6555: 6382: 6083: 5927: 5889:{\displaystyle t_{n}=t_{0}+(n\,\Delta t)} 5876: 5802:. As before, we can consider a window of 5641: 5578: 5331: 3264: 3136: 2936: 2717: 2441:and applied it to the terminals of a one 2333: 2109: 1960:{\displaystyle t_{n}=t_{0}+(n\,\Delta t)} 1947: 834: 768: 528: 435:, the signal might be a wave, such as an 98:Learn how and when to remove this message 82:, without removing the technical details. 10017:Miller, Scott; Childers, Donald (2012). 9846: 9801:Iranmanesh & Rodriguez-Villegas 2017 9608: 9135: 6192:Properties of the power spectral density 2960:that diverging integral, in such cases. 2344: 46: 34: 9552: 7597:{\displaystyle S_{xy}^{*}(f)=S_{yx}(f)} 3351:{\displaystyle |{\hat {x}}_{T}(f)|^{2}} 443:, or the vibration of a mechanism. The 405:, as well as in many other branches of 10286: 10044:Norton, M. P.; Karczub, D. G. (2003). 2559:is centered about some arbitrary time 244:all time would generally be infinite. 10135: 10127:Power Spectral Density Matlab scripts 10100: 9997: 9788:"Signal Processing Course, chapter 7" 9662: 9620: 9584: 2800:{\displaystyle x_{T}(t)=x(t)w_{T}(t)} 2351:cosmic microwave background radiation 284:over the time domain, as dictated by 212:composing that signal. According to 80:make it understandable to non-experts 10082:Risken, Hannes; Frank, Till (1996). 9813:Imtiaz & Rodriguez-Villegas 2014 9501:, not in the sense of a statistical 9459:makes sense of this formula for any 9172:are used to observe and measure the 9164:, and related systems, plus passive 8861:), but other techniques such as the 6265:{\displaystyle S_{xx}(-f)=S_{xx}(f)} 6196:Some properties of the PSD include: 5558:{\displaystyle S_{xx}(-f)=S_{xx}(f)} 5231: 4766:function of the non-windowed signal 4755:{\displaystyle T\rightarrow \infty } 3158: 1810:has units of V s ÎŠ = 1172: 54: 8875:spectral density (physical science) 8868: 7634:becomes the Fourier transform of a 7535:are already understood. Note that 7457:where, again, the contributions of 6279:x(t), the autocorrelation function 5491:{\displaystyle 0<f_{1}<f_{2}} 2349:The power spectrum of the measured 1737:. In this example, since the power 291:The spectrum of a physical process 13: 8797: 8730: 8725: 8117: 8112: 8005: 8000: 7977: 7956: 7951: 7852: 7847: 7740: 7735: 7712: 7691: 7686: 7621: 7357: 7229: 6984: 6979: 6956: 6815: 6810: 6787: 6354: 6349: 6084: 5998: 5987: 5937:{\displaystyle T=(2N+1)\,\Delta t} 5928: 5877: 5279: 5274: 5125: 5120: 5010: 5005: 4982: 4961: 4956: 4885: 4749: 4593: 4588: 4570: 4565: 4463: 4458: 4440: 4435: 4364: 4318: 4286: 4240: 4193: 4039:{\displaystyle u(t)=x_{T}^{*}(-t)} 3873: 3789: 3784: 3687: 3682: 3607: 3602: 3521: 3516: 3459: 3204: 3086: 3081: 3058: 2895: 2890: 2867: 2616: 2304: 2281: 2110: 2027: 2019: 1948: 1838: 1721: 1632: 1594:{\displaystyle {\bar {S}}_{xx}(f)} 1322:{\displaystyle {\bar {S}}_{xx}(f)} 898: 893: 791: 786: 734: 729: 652: 647: 447:(PSD) of the signal describes the 14: 10340: 10120: 2233:{\displaystyle {\hat {x}}_{d}(f)} 10193: 10065:Signals, Systems & Inference 10019:Probability and Random Processes 9910:Annals of Biomedical Engineering 9503:Cumulative distribution function 9154:electronic communication systems 4388: 401:and in the statistical study of 59: 9818: 9779: 9716: 9449: 9221:Least-squares spectral analysis 9099:), musical notes (perceived as 9080: 9050:Ultrashort pulse#Spectral phase 6409:) with power spectral density 5896:for a total measurement period 2242:discrete-time Fourier transform 10021:. Boston, MA: Academic Press. 9889:. New York: Wiley-IEEE Press. 9614: 9569:"Spectral Analysis of Signals" 9429: 9412: 9386: 9369: 9363: 9357: 9339: 9328: 9316: 9306: 9300: 9294: 9268: 9076:or over a specified bandwidth. 9031: 9025: 8761: 8748: 8705: 8699: 8646: 8640: 8618: 8612: 8555: 8549: 8543: 8517: 8511: 8505: 8479: 8473: 8450: 8444: 8421: 8415: 8406: 8400: 8377: 8371: 8348: 8342: 8319: 8313: 8280: 8274: 8251: 8245: 8218: 8212: 8141: 8135: 8056: 8050: 8037: 8025: 7974: 7933: 7927: 7876: 7870: 7791: 7785: 7772: 7760: 7709: 7668: 7662: 7618: 7591: 7585: 7566: 7560: 7522: 7516: 7483: 7477: 7435: 7429: 7417: 7407: 7401: 7384: 7354: 7336: 7330: 7307: 7301: 7289: 7279: 7273: 7256: 7226: 7208: 7202: 7146: 7141: 7135: 7121: 7114: 7108: 7095: 7089: 7068: 7062: 7049: 7043: 7015: 7010: 7004: 6990: 6953: 6921: 6915: 6899: 6893: 6864: 6858: 6842: 6836: 6784: 6726: 6720: 6687: 6681: 6648: 6642: 6619: 6613: 6552: 6541: 6504: 6498: 6484:, which specifies the average 6471: 6465: 6435: 6429: 6379: 6373: 6335: 6329: 6259: 6253: 6234: 6225: 6005: 5995: 5984: 5970: 5964: 5924: 5909: 5883: 5870: 5830:{\displaystyle -N\leq n\leq N} 5755: 5749: 5638: 5632: 5552: 5546: 5527: 5518: 5439: 5413: 5388: 5369: 5363: 5348: 5303: 5297: 5260: 5254: 5211: 5205: 5149: 5143: 5061: 5055: 5042: 5030: 4979: 4931: 4925: 4913: 4882: 4850: 4844: 4821: 4815: 4782: 4776: 4746: 4644: 4638: 4625: 4613: 4502: 4496: 4483: 4471: 4409: 4403: 4383: 4377: 4344: 4338: 4305: 4299: 4266: 4260: 4227: 4218: 4178: 4172: 4160: 4141: 4137: 4131: 4119: 4109: 4088: 4082: 4070: 4033: 4024: 4003: 3997: 3959: 3953: 3941: 3899: 3893: 3810: 3804: 3745: 3716: 3713: 3707: 3633: 3627: 3550: 3541: 3493: 3484: 3433: 3427: 3397: 3388: 3338: 3333: 3327: 3315: 3304: 3281: 3254: 3249: 3243: 3231: 3220: 3201: 3187: 3181: 3126: 3121: 3115: 3103: 3092: 3055: 3017: 3011: 3005: 2979: 2973: 2922: 2916: 2864: 2830: 2824: 2794: 2788: 2775: 2769: 2760: 2754: 2703: 2697: 2613: 2526: 2520: 2471: 2465: 2428: 2422: 2391: 2385: 2319:{\displaystyle \Delta t\to 0.} 2310: 2227: 2221: 2209: 2166: 2160: 2148: 2034: 2024: 2016: 2002: 1996: 1981: 1954: 1941: 1830: 1824: 1797: 1791: 1754: 1747: 1713: 1707: 1664: 1658: 1588: 1582: 1567: 1526: 1519: 1482: 1475: 1389: 1383: 1349: 1343: 1316: 1310: 1295: 1270: 1240: 1234: 1228: 1210: 1204: 1189: 1156: 1150: 1050: 1044: 1038: 979: 973: 937: 931: 879: 873: 867: 820: 814: 808: 758: 753: 747: 740: 672: 666: 613: 607: 541:function of both positive and 427:Fourier transform § Units 368: 362: 307: 301: 271: 265: 188:describes the distribution of 175: 169: 140: 134: 1: 9847:Birolini, Alessandro (2007). 9840: 9687:Oppenheim & Verghese 2016 9675:Oppenheim & Verghese 2016 9651:Oppenheim & Verghese 2016 9461:wide-sense stationary process 8898:), usually expressed as "SEF 8815: 8576:s scaled by a factor of two. 8561:{\displaystyle {\hat {y}}(f)} 8523:{\displaystyle {\hat {x}}(f)} 8325:{\displaystyle R_{yx}(\tau )} 8224:{\displaystyle R_{xy}(\tau )} 6739:, it is possible to define a 6599:Coherence (signal processing) 6593:Cross power spectral density 4827:{\displaystyle R_{xx}(\tau )} 3403:{\displaystyle x_{T}^{*}(-t)} 3023:{\displaystyle {\hat {x}}(f)} 2274:  The sampling interval 1847:{\displaystyle E(f)/\Delta f} 1781:has units of V Ί, the energy 1730:{\displaystyle E(f)/\Delta f} 548: 399:statistical signal processing 10329:Spectrum (physical sciences) 9505:) instead of functions. If 9188: 9183:short-time Fourier transform 9063:Sometimes one encounters an 8965:short-time Fourier transform 8332:is the cross-correlation of 7627:{\displaystyle T\to \infty } 6741:cross power spectral density 5403:the power spectral density. 231:. More commonly used is the 21:Spectrum (physical sciences) 7: 10101:Stein, Jonathan Y. (2000). 9723:Dennis Ward Ricker (2003). 9246:Spectral power distribution 9231:Spectral density estimation 9199: 8822:Spectral density estimation 6454:power spectral distribution 2340:spectral power distribution 10: 10345: 10084:The Fokker-Planck Equation 9965:10.1109/TBCAS.2017.2690908 9949:Rodriguez-Villegas, Esther 9762:Miller & Childers 2012 9711:Miller & Childers 2012 9699:Miller & Childers 2012 9084: 9065:amplitude spectral density 8872: 8830:the spectral density of a 8819: 6596: 2337: 1774:{\displaystyle V(t)^{2}/Z} 1546:{\displaystyle V(t)^{2}/Z} 1502:{\displaystyle V(t)^{2}/Z} 1104:in the frequency interval 557: 424: 192:into frequency components 39:The spectral density of a 27: 18: 10294:Frequency-domain analysis 10250: 10173: 10103:Digital Signal Processing 9922:10.1007/s10439-014-1085-6 9774:Davenport & Root 1987 9597:Norton & Karczub 2003 9463:under weaker hypotheses: 8865:method can also be used. 8427:{\displaystyle x(t)=y(t)} 7528:{\displaystyle S_{yy}(f)} 7489:{\displaystyle S_{xx}(f)} 6732:{\displaystyle S_{yy}(f)} 6693:{\displaystyle S_{xx}(f)} 6441:{\displaystyle S_{xx}(f)} 6298:inverse Fourier transform 2366:; this describes how the 1814:, and hence the estimate 146:{\displaystyle S_{xx}(f)} 9870:. New York: Wiley-Liss. 9786:William D Penny (2009). 9623:"Power Spectral Density" 9261: 9004:real and imaginary parts 8873:Not to be confused with 3439:{\displaystyle x_{T}(t)} 2836:{\displaystyle w_{T}(t)} 2477:{\displaystyle x^{2}(t)} 2375:of a function over time 2338:Not to be confused with 2290:{\displaystyle \Delta t} 1697:is then estimated to be 1641:{\displaystyle \Delta f} 1080:can be interpreted as a 420: 277:{\displaystyle x^{2}(t)} 9849:Reliability Engineering 9457:Wiener–Khinchin theorem 9276:Risken & Frank 1996 9194:Primordial fluctuations 8892:spectral edge frequency 5226:Wiener–Khinchin theorem 2585:{\displaystyle t=t_{0}} 2362:(PSD) which exists for 1364:Wiener–Khinchin theorem 1138:energy spectral density 554:Energy spectral density 480:Energy spectral density 463:(abbreviated as W/Hz). 229:energy spectral density 9998:Maral, Gerard (2004). 9750:Brown & Hwang 1997 9726:Echo Signal Processing 9567:& R Moses (2005). 9529: 9528:{\displaystyle R_{xx}} 9487: 9486:{\displaystyle R_{xx}} 9436: 9396: 9226:Noise spectral density 9211:Brightness temperature 9150:electrical engineering 9145: 9132:Electrical engineering 9038: 8992:phase spectral density 8807: 8734: 8653: 8562: 8524: 8486: 8457: 8428: 8384: 8355: 8326: 8287: 8258: 8225: 8186: 7628: 7598: 7529: 7490: 7451: 7170: 6749:cross spectral density 6733: 6694: 6655: 6626: 6574: 6478: 6448:, one can compute the 6442: 6393: 6306:, one can compute the 6266: 6182:cross-spectral density 6171: 6147: 6127: 6107: 6049: 5938: 5890: 5831: 5796: 5762: 5728: 5700: 5672: 5652: 5559: 5492: 5446: 5376: 5218: 5187: 4857: 4828: 4795:, which is denoted as 4789: 4756: 4736:and take the limit as 4730: 4703: 4040: 3981: 3440: 3404: 3352: 3292:From here, due to the 3269: 3147: 3024: 2986: 2950: 2837: 2801: 2728: 2586: 2553: 2533: 2504: 2478: 2435: 2412:source which followed 2398: 2360:power spectral density 2354: 2334:Power spectral density 2320: 2291: 2268: 2267:{\displaystyle x_{n}.} 2234: 2189: 2075: 1961: 1902: 1868: 1848: 1804: 1775: 1731: 1691: 1671: 1642: 1615: 1595: 1547: 1503: 1459: 1431: 1396: 1356: 1323: 1258: 1163: 1127: 1098: 1074: 1009: 986: 953: 848: 702: 620: 591: 533:A PSD can be either a 529:One-sided vs two-sided 445:power spectral density 375: 334: 314: 278: 233:power spectral density 206: 182: 147: 52: 44: 9530: 9488: 9437: 9397: 9274:Some authors, e.g., ( 9139: 9085:Further information: 9039: 8990:versus frequency—the 8857:methods (such as the 8808: 8711: 8661:For discrete signals 8654: 8563: 8525: 8487: 8458: 8429: 8385: 8356: 8327: 8288: 8259: 8226: 8187: 7629: 7599: 7530: 7491: 7452: 7171: 6734: 6695: 6656: 6627: 6575: 6479: 6443: 6394: 6267: 6172: 6148: 6128: 6108: 6026: 5939: 5891: 5832: 5797: 5795:{\displaystyle x_{n}} 5763: 5737:statistical ensembles 5729: 5701: 5673: 5653: 5560: 5493: 5447: 5377: 5219: 5188: 4858: 4829: 4790: 4757: 4731: 4704: 4041: 3982: 3441: 3405: 3353: 3270: 3148: 3025: 2987: 2951: 2838: 2802: 2729: 2587: 2554: 2534: 2505: 2479: 2436: 2399: 2348: 2321: 2292: 2269: 2235: 2190: 2052: 1962: 1903: 1901:{\displaystyle x_{n}} 1869: 1849: 1805: 1776: 1732: 1692: 1672: 1643: 1616: 1596: 1548: 1504: 1460: 1432: 1397: 1357: 1324: 1259: 1164: 1128: 1099: 1075: 1010: 987: 954: 849: 703: 621: 592: 376: 335: 315: 279: 207: 183: 148: 114:, the power spectrum 50: 38: 9665:, pp. 108, 115. 9621:Paschotta, RĂźdiger. 9509: 9467: 9444:Dirac delta function 9406: 9282: 9158:radio communications 9037:{\displaystyle h(t)} 9019: 8844:autoregressive model 8683: 8580: 8534: 8496: 8485:{\displaystyle y(t)} 8467: 8456:{\displaystyle x(t)} 8438: 8394: 8383:{\displaystyle x(t)} 8365: 8354:{\displaystyle y(t)} 8336: 8297: 8286:{\displaystyle y(t)} 8268: 8257:{\displaystyle x(t)} 8239: 8196: 7642: 7612: 7539: 7500: 7461: 7182: 6759: 6704: 6665: 6654:{\displaystyle y(t)} 6636: 6625:{\displaystyle x(t)} 6607: 6492: 6477:{\displaystyle F(f)} 6459: 6413: 6314: 6209: 6161: 6137: 6117: 5948: 5900: 5841: 5806: 5779: 5761:{\displaystyle x(t)} 5743: 5710: 5682: 5662: 5569: 5502: 5456: 5410: 5238: 5217:{\displaystyle x(t)} 5199: 4871: 4856:{\displaystyle x(t)} 4838: 4799: 4788:{\displaystyle x(t)} 4770: 4740: 4720: 4050: 3991: 3450: 3414: 3370: 3300: 3165: 3038: 2996: 2985:{\displaystyle x(t)} 2967: 2847: 2811: 2741: 2596: 2563: 2543: 2532:{\displaystyle x(t)} 2514: 2494: 2452: 2434:{\displaystyle x(t)} 2416: 2397:{\displaystyle x(t)} 2379: 2364:stationary processes 2328:normalized frequency 2301: 2278: 2248: 2199: 1971: 1912: 1885: 1858: 1818: 1803:{\displaystyle E(f)} 1785: 1741: 1701: 1681: 1670:{\displaystyle E(f)} 1652: 1629: 1605: 1557: 1513: 1469: 1449: 1421: 1395:{\displaystyle V(t)} 1377: 1355:{\displaystyle x(t)} 1337: 1285: 1179: 1162:{\displaystyle x(t)} 1144: 1126:{\displaystyle f+df} 1108: 1088: 1023: 999: 985:{\displaystyle x(t)} 967: 959:is the value of the 858: 718: 630: 619:{\displaystyle x(t)} 601: 581: 543:negative frequencies 437:electromagnetic wave 403:stochastic processes 374:{\displaystyle E(t)} 356: 340:. For instance, the 324: 313:{\displaystyle x(t)} 295: 252: 196: 181:{\displaystyle x(t)} 163: 118: 10067:. Boston: Pearson. 9701:, pp. 429–431. 9689:, pp. 422–423. 9236:Spectral efficiency 8572:is just one of the 8121: 8024: 8009: 7960: 7856: 7759: 7744: 7695: 7559: 7400: 7272: 7088: 7042: 6988: 6819: 6527: 6450:integrated spectrum 6401:For a real process 6358: 6177:approach infinity. 5739:of realizations of 5727:{\displaystyle 1/T} 5699:{\displaystyle 1/T} 5618: 5283: 5129: 5029: 5014: 4965: 4711:convolution theorem 4612: 4597: 4574: 4467: 4444: 4217: 4023: 3793: 3706: 3691: 3626: 3611: 3540: 3525: 3483: 3387: 3296:, we can also view 3294:convolution theorem 3090: 2899: 2687: 902: 795: 738: 656: 10273:telecommunications 9947:Iranmanesh, Saam; 9525: 9483: 9432: 9392: 9251:Whittle likelihood 9170:spectrum analyzers 9146: 9140:Spectrogram of an 9034: 9009:frequency response 8976:transfer functions 8902:", represents the 8803: 8649: 8558: 8520: 8482: 8453: 8424: 8380: 8351: 8322: 8283: 8254: 8221: 8182: 8180: 8104: 8010: 7992: 7981: 7943: 7839: 7745: 7727: 7716: 7678: 7624: 7594: 7542: 7525: 7486: 7447: 7445: 7377: 7361: 7249: 7233: 7166: 7164: 7074: 7028: 6971: 6960: 6802: 6791: 6729: 6690: 6651: 6622: 6603:Given two signals 6570: 6513: 6474: 6438: 6389: 6341: 6304:Parseval's theorem 6277:stochastic process 6262: 6167: 6143: 6123: 6103: 5991: 5934: 5886: 5827: 5792: 5758: 5724: 5696: 5668: 5648: 5590: 5555: 5488: 5442: 5372: 5266: 5214: 5183: 5112: 5015: 4997: 4986: 4948: 4889: 4853: 4824: 4785: 4752: 4726: 4699: 4697: 4598: 4580: 4557: 4450: 4427: 4203: 4036: 4009: 3977: 3975: 3776: 3692: 3674: 3612: 3594: 3526: 3508: 3469: 3436: 3400: 3373: 3348: 3265: 3208: 3143: 3073: 3062: 3032:Parseval's theorem 3020: 2982: 2946: 2882: 2871: 2833: 2797: 2724: 2631: 2620: 2582: 2549: 2529: 2500: 2490:The average power 2474: 2431: 2394: 2355: 2316: 2287: 2264: 2230: 2185: 2181: 2132: 2023: 1957: 1898: 1879:countably infinite 1864: 1844: 1800: 1771: 1727: 1687: 1667: 1638: 1611: 1591: 1543: 1499: 1455: 1427: 1392: 1352: 1319: 1254: 1159: 1123: 1094: 1070: 1005: 982: 949: 885: 844: 778: 721: 712:Parseval's theorem 698: 639: 616: 587: 371: 330: 310: 286:Parseval's theorem 274: 202: 178: 143: 53: 45: 10299:Signal processing 10281: 10280: 10112:978-0-471-29546-4 10093:978-3-540-61530-9 10074:978-0-13-394328-3 10055:978-0-521-49913-2 10028:978-0-12-386981-4 10009:978-0-470-86684-9 9896:978-0-87942-235-6 9877:978-0-471-12839-7 9858:978-3-540-49388-4 9736:978-1-4020-7395-3 9537:Bochner's theorem 9497:(in the sense of 9319: 9297: 8931:spectral envelope 8884:spectral centroid 8855:Fourier transform 8590: 8546: 8508: 8233:cross-correlation 7990: 7966: 7725: 7701: 7636:cross-correlation 7420: 7387: 7370: 7346: 7292: 7259: 7242: 7218: 6969: 6945: 6800: 6776: 6296:(f) by using the 6275:For a continuous 6186:cross-correlation 6170:{\displaystyle T} 6146:{\displaystyle T} 6126:{\displaystyle N} 6018: 5976: 5671:{\displaystyle T} 5580: 5396: 5395: 5351: 5102: 4995: 4971: 4916: 4898: 4874: 4762:, it becomes the 4729:{\displaystyle T} 4685: 4163: 4122: 4073: 3944: 3360:Fourier transform 3318: 3289: 3288: 3234: 3217: 3193: 3106: 3071: 3047: 3008: 2880: 2856: 2629: 2605: 2552:{\displaystyle T} 2503:{\displaystyle P} 2212: 2151: 2045: 2043: 2008: 1984: 1881:number of values 1867:{\displaystyle Z} 1690:{\displaystyle f} 1614:{\displaystyle f} 1570: 1458:{\displaystyle t} 1430:{\displaystyle Z} 1412:transmission line 1298: 1278: 1277: 1231: 1192: 1097:{\displaystyle f} 1041: 1008:{\displaystyle f} 961:Fourier transform 942: 870: 811: 688: 590:{\displaystyle E} 569:of a signal or a 415:spatial frequency 383:Fourier transform 333:{\displaystyle x} 205:{\displaystyle f} 112:signal processing 108: 107: 100: 41:fluorescent light 10336: 10319:Fourier analysis 10258:logarithmic unit 10156: 10149: 10142: 10133: 10132: 10116: 10097: 10078: 10059: 10040: 10013: 9994: 9976: 9943: 9933: 9900: 9881: 9862: 9834: 9833: 9831: 9822: 9816: 9810: 9804: 9798: 9792: 9791: 9783: 9777: 9771: 9765: 9759: 9753: 9747: 9741: 9740: 9720: 9714: 9708: 9702: 9696: 9690: 9684: 9678: 9672: 9666: 9660: 9654: 9648: 9642: 9641: 9639: 9638: 9629:. Archived from 9627:rp-photonics.com 9618: 9612: 9606: 9600: 9594: 9588: 9582: 9576: 9575: 9573: 9561: 9544: 9534: 9532: 9531: 9526: 9524: 9523: 9499:Laurent Schwartz 9492: 9490: 9489: 9484: 9482: 9481: 9453: 9447: 9441: 9439: 9438: 9433: 9428: 9401: 9399: 9398: 9393: 9385: 9338: 9327: 9326: 9321: 9320: 9312: 9299: 9298: 9290: 9272: 9241:Spectral leakage 9152:, especially in 9043: 9041: 9040: 9035: 9014:impulse response 8869:Related concepts 8812: 8810: 8809: 8804: 8795: 8794: 8793: 8792: 8760: 8759: 8747: 8746: 8733: 8728: 8698: 8697: 8678: 8669: 8658: 8656: 8655: 8650: 8639: 8638: 8611: 8610: 8592: 8591: 8588: 8567: 8565: 8564: 8559: 8548: 8547: 8539: 8529: 8527: 8526: 8521: 8510: 8509: 8501: 8491: 8489: 8488: 8483: 8462: 8460: 8459: 8454: 8433: 8431: 8430: 8425: 8389: 8387: 8386: 8381: 8360: 8358: 8357: 8352: 8331: 8329: 8328: 8323: 8312: 8311: 8292: 8290: 8289: 8284: 8263: 8261: 8260: 8255: 8230: 8228: 8227: 8222: 8211: 8210: 8191: 8189: 8188: 8183: 8181: 8168: 8167: 8134: 8133: 8120: 8115: 8094: 8093: 8069: 8065: 8049: 8048: 8023: 8018: 8008: 8003: 7991: 7983: 7980: 7959: 7954: 7926: 7925: 7903: 7902: 7869: 7868: 7855: 7850: 7829: 7828: 7804: 7800: 7784: 7783: 7758: 7753: 7743: 7738: 7726: 7718: 7715: 7694: 7689: 7661: 7660: 7633: 7631: 7630: 7625: 7603: 7601: 7600: 7595: 7584: 7583: 7558: 7553: 7534: 7532: 7531: 7526: 7515: 7514: 7495: 7493: 7492: 7487: 7476: 7475: 7456: 7454: 7453: 7448: 7446: 7442: 7438: 7428: 7427: 7422: 7421: 7413: 7399: 7394: 7389: 7388: 7380: 7371: 7363: 7360: 7329: 7328: 7314: 7310: 7300: 7299: 7294: 7293: 7285: 7271: 7266: 7261: 7260: 7252: 7243: 7235: 7232: 7201: 7200: 7175: 7173: 7172: 7167: 7165: 7155: 7154: 7149: 7134: 7133: 7124: 7107: 7106: 7087: 7082: 7061: 7060: 7041: 7036: 7024: 7023: 7018: 7003: 7002: 6993: 6987: 6982: 6970: 6962: 6959: 6938: 6928: 6924: 6914: 6913: 6892: 6891: 6877: 6876: 6871: 6867: 6857: 6856: 6835: 6834: 6818: 6813: 6801: 6793: 6790: 6738: 6736: 6735: 6730: 6719: 6718: 6699: 6697: 6696: 6691: 6680: 6679: 6660: 6658: 6657: 6652: 6631: 6629: 6628: 6623: 6586: 6579: 6577: 6576: 6571: 6566: 6551: 6540: 6539: 6526: 6521: 6483: 6481: 6480: 6475: 6447: 6445: 6444: 6439: 6428: 6427: 6398: 6396: 6395: 6390: 6372: 6371: 6357: 6352: 6271: 6269: 6268: 6263: 6252: 6251: 6224: 6223: 6176: 6174: 6173: 6168: 6152: 6150: 6149: 6144: 6132: 6130: 6129: 6124: 6112: 6110: 6109: 6104: 6102: 6101: 6096: 6092: 6091: 6090: 6059: 6058: 6048: 6043: 6019: 6014: 6013: 6012: 5993: 5990: 5963: 5962: 5943: 5941: 5940: 5935: 5895: 5893: 5892: 5887: 5866: 5865: 5853: 5852: 5836: 5834: 5833: 5828: 5801: 5799: 5798: 5793: 5791: 5790: 5767: 5765: 5764: 5759: 5733: 5731: 5730: 5725: 5720: 5705: 5703: 5702: 5697: 5692: 5677: 5675: 5674: 5669: 5657: 5655: 5654: 5649: 5631: 5630: 5617: 5616: 5615: 5605: 5604: 5603: 5583: 5582: 5581: 5564: 5562: 5561: 5556: 5545: 5544: 5517: 5516: 5497: 5495: 5494: 5489: 5487: 5486: 5474: 5473: 5451: 5449: 5448: 5445:{\displaystyle } 5443: 5438: 5437: 5425: 5424: 5390: 5381: 5379: 5378: 5373: 5362: 5361: 5353: 5352: 5344: 5330: 5329: 5296: 5295: 5282: 5277: 5253: 5252: 5232: 5223: 5221: 5220: 5215: 5192: 5190: 5189: 5184: 5176: 5175: 5142: 5141: 5128: 5123: 5100: 5099: 5098: 5074: 5070: 5054: 5053: 5028: 5023: 5013: 5008: 4996: 4988: 4985: 4964: 4959: 4944: 4943: 4938: 4934: 4924: 4923: 4918: 4917: 4909: 4899: 4891: 4888: 4862: 4860: 4859: 4854: 4834:, provided that 4833: 4831: 4830: 4825: 4814: 4813: 4794: 4792: 4791: 4786: 4761: 4759: 4758: 4753: 4735: 4733: 4732: 4727: 4708: 4706: 4705: 4700: 4698: 4683: 4682: 4681: 4657: 4653: 4637: 4636: 4611: 4606: 4596: 4591: 4573: 4568: 4550: 4540: 4539: 4515: 4511: 4495: 4494: 4466: 4461: 4443: 4438: 4420: 4416: 4412: 4402: 4401: 4392: 4391: 4368: 4367: 4355: 4351: 4347: 4337: 4336: 4322: 4321: 4312: 4308: 4290: 4289: 4277: 4273: 4269: 4259: 4258: 4244: 4243: 4234: 4230: 4216: 4211: 4197: 4196: 4184: 4171: 4170: 4165: 4164: 4156: 4149: 4148: 4130: 4129: 4124: 4123: 4115: 4101: 4100: 4095: 4091: 4081: 4080: 4075: 4074: 4066: 4045: 4043: 4042: 4037: 4022: 4017: 3986: 3984: 3983: 3978: 3976: 3972: 3971: 3966: 3962: 3952: 3951: 3946: 3945: 3937: 3921: 3917: 3916: 3911: 3907: 3906: 3902: 3892: 3891: 3877: 3876: 3858: 3854: 3853: 3848: 3844: 3837: 3836: 3803: 3802: 3792: 3787: 3763: 3753: 3752: 3743: 3742: 3705: 3700: 3690: 3685: 3667: 3657: 3656: 3625: 3620: 3610: 3605: 3587: 3577: 3576: 3539: 3534: 3524: 3519: 3500: 3496: 3482: 3477: 3463: 3462: 3445: 3443: 3442: 3437: 3426: 3425: 3409: 3407: 3406: 3401: 3386: 3381: 3357: 3355: 3354: 3349: 3347: 3346: 3341: 3326: 3325: 3320: 3319: 3311: 3307: 3283: 3274: 3272: 3271: 3266: 3263: 3262: 3257: 3242: 3241: 3236: 3235: 3227: 3223: 3218: 3210: 3207: 3180: 3179: 3159: 3152: 3150: 3149: 3144: 3135: 3134: 3129: 3114: 3113: 3108: 3107: 3099: 3095: 3089: 3084: 3072: 3064: 3061: 3029: 3027: 3026: 3021: 3010: 3009: 3001: 2991: 2989: 2988: 2983: 2955: 2953: 2952: 2947: 2935: 2934: 2929: 2925: 2915: 2914: 2898: 2893: 2881: 2873: 2870: 2842: 2840: 2839: 2834: 2823: 2822: 2806: 2804: 2803: 2798: 2787: 2786: 2753: 2752: 2733: 2731: 2730: 2725: 2716: 2715: 2710: 2706: 2686: 2682: 2671: 2670: 2660: 2656: 2645: 2644: 2630: 2622: 2619: 2591: 2589: 2588: 2583: 2581: 2580: 2558: 2556: 2555: 2550: 2538: 2536: 2535: 2530: 2509: 2507: 2506: 2501: 2483: 2481: 2480: 2475: 2464: 2463: 2440: 2438: 2437: 2432: 2403: 2401: 2400: 2395: 2325: 2323: 2322: 2317: 2296: 2294: 2293: 2288: 2273: 2271: 2270: 2265: 2260: 2259: 2239: 2237: 2236: 2231: 2220: 2219: 2214: 2213: 2205: 2194: 2192: 2191: 2186: 2180: 2179: 2178: 2173: 2169: 2159: 2158: 2153: 2152: 2144: 2133: 2128: 2127: 2122: 2118: 2117: 2116: 2085: 2084: 2074: 2069: 2042: 2041: 2022: 1995: 1994: 1986: 1985: 1977: 1966: 1964: 1963: 1958: 1937: 1936: 1924: 1923: 1907: 1905: 1904: 1899: 1897: 1896: 1873: 1871: 1870: 1865: 1853: 1851: 1850: 1845: 1837: 1809: 1807: 1806: 1801: 1780: 1778: 1777: 1772: 1767: 1762: 1761: 1736: 1734: 1733: 1728: 1720: 1696: 1694: 1693: 1688: 1676: 1674: 1673: 1668: 1647: 1645: 1644: 1639: 1620: 1618: 1617: 1612: 1600: 1598: 1597: 1592: 1581: 1580: 1572: 1571: 1563: 1552: 1550: 1549: 1544: 1539: 1534: 1533: 1508: 1506: 1505: 1500: 1495: 1490: 1489: 1464: 1462: 1461: 1456: 1436: 1434: 1433: 1428: 1401: 1399: 1398: 1393: 1361: 1359: 1358: 1353: 1328: 1326: 1325: 1320: 1309: 1308: 1300: 1299: 1291: 1272: 1263: 1261: 1260: 1255: 1253: 1252: 1247: 1243: 1233: 1232: 1224: 1203: 1202: 1194: 1193: 1185: 1173: 1168: 1166: 1165: 1160: 1132: 1130: 1129: 1124: 1103: 1101: 1100: 1095: 1082:density function 1079: 1077: 1076: 1071: 1063: 1062: 1057: 1053: 1043: 1042: 1034: 1014: 1012: 1011: 1006: 991: 989: 988: 983: 958: 956: 955: 950: 940: 927: 926: 901: 896: 872: 871: 863: 853: 851: 850: 845: 833: 832: 827: 823: 813: 812: 804: 794: 789: 767: 766: 761: 743: 737: 732: 707: 705: 704: 699: 686: 685: 684: 679: 675: 655: 650: 625: 623: 622: 617: 596: 594: 593: 588: 387:dispersive prism 380: 378: 377: 372: 339: 337: 336: 331: 319: 317: 316: 311: 283: 281: 280: 275: 264: 263: 235:(PSD, or simply 214:Fourier analysis 211: 209: 208: 203: 187: 185: 184: 179: 152: 150: 149: 144: 133: 132: 103: 96: 92: 89: 83: 63: 62: 55: 10344: 10343: 10339: 10338: 10337: 10335: 10334: 10333: 10284: 10283: 10282: 10277: 10246: 10169: 10160: 10123: 10113: 10094: 10075: 10056: 10029: 10010: 9916:(11): 2344–59. 9897: 9878: 9859: 9843: 9838: 9837: 9829: 9823: 9819: 9811: 9807: 9799: 9795: 9784: 9780: 9772: 9768: 9760: 9756: 9748: 9744: 9737: 9721: 9717: 9709: 9705: 9697: 9693: 9685: 9681: 9673: 9669: 9661: 9657: 9649: 9645: 9636: 9634: 9619: 9615: 9607: 9603: 9595: 9591: 9583: 9579: 9571: 9562: 9553: 9548: 9547: 9535:is continuous, 9516: 9512: 9510: 9507: 9506: 9474: 9470: 9468: 9465: 9464: 9454: 9450: 9421: 9407: 9404: 9403: 9378: 9331: 9322: 9311: 9310: 9309: 9289: 9288: 9283: 9280: 9279: 9273: 9269: 9264: 9256:Window function 9216:Colors of noise 9202: 9191: 9134: 9089: 9083: 9046:autocorrelation 9020: 9017: 9016: 8878: 8871: 8863:maximum entropy 8824: 8818: 8788: 8784: 8768: 8764: 8755: 8751: 8739: 8735: 8729: 8715: 8690: 8686: 8684: 8681: 8680: 8676: 8671: 8667: 8662: 8631: 8627: 8603: 8599: 8587: 8583: 8581: 8578: 8577: 8538: 8537: 8535: 8532: 8531: 8500: 8499: 8497: 8494: 8493: 8468: 8465: 8464: 8439: 8436: 8435: 8395: 8392: 8391: 8366: 8363: 8362: 8337: 8334: 8333: 8304: 8300: 8298: 8295: 8294: 8269: 8266: 8265: 8240: 8237: 8236: 8203: 8199: 8197: 8194: 8193: 8179: 8178: 8148: 8144: 8126: 8122: 8116: 8108: 8074: 8070: 8044: 8040: 8019: 8014: 8004: 7996: 7982: 7970: 7965: 7961: 7955: 7947: 7936: 7918: 7914: 7911: 7910: 7883: 7879: 7861: 7857: 7851: 7843: 7809: 7805: 7779: 7775: 7754: 7749: 7739: 7731: 7717: 7705: 7700: 7696: 7690: 7682: 7671: 7653: 7649: 7645: 7643: 7640: 7639: 7613: 7610: 7609: 7576: 7572: 7554: 7546: 7540: 7537: 7536: 7507: 7503: 7501: 7498: 7497: 7468: 7464: 7462: 7459: 7458: 7444: 7443: 7423: 7412: 7411: 7410: 7395: 7390: 7379: 7378: 7376: 7372: 7362: 7350: 7339: 7321: 7317: 7315: 7295: 7284: 7283: 7282: 7267: 7262: 7251: 7250: 7248: 7244: 7234: 7222: 7211: 7193: 7189: 7185: 7183: 7180: 7179: 7163: 7162: 7150: 7145: 7144: 7129: 7125: 7120: 7102: 7098: 7083: 7078: 7056: 7052: 7037: 7032: 7019: 7014: 7013: 6998: 6994: 6989: 6983: 6975: 6961: 6949: 6936: 6935: 6909: 6905: 6887: 6883: 6882: 6878: 6872: 6852: 6848: 6830: 6826: 6825: 6821: 6820: 6814: 6806: 6792: 6780: 6769: 6762: 6760: 6757: 6756: 6711: 6707: 6705: 6702: 6701: 6672: 6668: 6666: 6663: 6662: 6637: 6634: 6633: 6608: 6605: 6604: 6601: 6595: 6590: 6581: 6559: 6544: 6532: 6528: 6522: 6517: 6493: 6490: 6489: 6460: 6457: 6456: 6420: 6416: 6414: 6411: 6410: 6364: 6360: 6353: 6345: 6315: 6312: 6311: 6295: 6287: 6244: 6240: 6216: 6212: 6210: 6207: 6206: 6194: 6162: 6159: 6158: 6138: 6135: 6134: 6118: 6115: 6114: 6097: 6064: 6060: 6054: 6050: 6044: 6030: 6025: 6021: 6020: 6008: 6004: 5994: 5992: 5980: 5955: 5951: 5949: 5946: 5945: 5901: 5898: 5897: 5861: 5857: 5848: 5844: 5842: 5839: 5838: 5807: 5804: 5803: 5786: 5782: 5780: 5777: 5776: 5744: 5741: 5740: 5716: 5711: 5708: 5707: 5688: 5683: 5680: 5679: 5663: 5660: 5659: 5623: 5619: 5611: 5607: 5606: 5599: 5595: 5594: 5577: 5576: 5572: 5570: 5567: 5566: 5537: 5533: 5509: 5505: 5503: 5500: 5499: 5482: 5478: 5469: 5465: 5457: 5454: 5453: 5433: 5429: 5420: 5416: 5411: 5408: 5407: 5397: 5354: 5343: 5342: 5341: 5310: 5306: 5288: 5284: 5278: 5270: 5245: 5241: 5239: 5236: 5235: 5200: 5197: 5196: 5156: 5152: 5134: 5130: 5124: 5116: 5079: 5075: 5049: 5045: 5024: 5019: 5009: 5001: 4987: 4975: 4970: 4966: 4960: 4952: 4939: 4919: 4908: 4907: 4906: 4905: 4901: 4900: 4890: 4878: 4872: 4869: 4868: 4839: 4836: 4835: 4806: 4802: 4800: 4797: 4796: 4771: 4768: 4767: 4764:autocorrelation 4741: 4738: 4737: 4721: 4718: 4717: 4696: 4695: 4662: 4658: 4632: 4628: 4607: 4602: 4592: 4584: 4579: 4575: 4569: 4561: 4548: 4547: 4520: 4516: 4490: 4486: 4462: 4454: 4449: 4445: 4439: 4431: 4418: 4417: 4397: 4393: 4387: 4386: 4373: 4369: 4363: 4362: 4353: 4352: 4332: 4328: 4327: 4323: 4317: 4316: 4295: 4291: 4285: 4284: 4275: 4274: 4254: 4250: 4249: 4245: 4239: 4238: 4212: 4207: 4202: 4198: 4192: 4191: 4182: 4181: 4166: 4155: 4154: 4153: 4144: 4140: 4125: 4114: 4113: 4112: 4102: 4096: 4076: 4065: 4064: 4063: 4062: 4058: 4057: 4053: 4051: 4048: 4047: 4018: 4013: 3992: 3989: 3988: 3974: 3973: 3967: 3947: 3936: 3935: 3934: 3933: 3929: 3928: 3919: 3918: 3912: 3887: 3883: 3882: 3878: 3872: 3871: 3870: 3866: 3865: 3856: 3855: 3849: 3817: 3813: 3798: 3794: 3788: 3780: 3775: 3771: 3770: 3761: 3760: 3748: 3744: 3723: 3719: 3701: 3696: 3686: 3678: 3665: 3664: 3640: 3636: 3621: 3616: 3606: 3598: 3585: 3584: 3557: 3553: 3535: 3530: 3520: 3512: 3501: 3478: 3473: 3468: 3464: 3458: 3457: 3453: 3451: 3448: 3447: 3421: 3417: 3415: 3412: 3411: 3382: 3377: 3371: 3368: 3367: 3342: 3337: 3336: 3321: 3310: 3309: 3308: 3303: 3301: 3298: 3297: 3290: 3258: 3253: 3252: 3237: 3226: 3225: 3224: 3219: 3209: 3197: 3172: 3168: 3166: 3163: 3162: 3130: 3125: 3124: 3109: 3098: 3097: 3096: 3091: 3085: 3077: 3063: 3051: 3039: 3036: 3035: 3000: 2999: 2997: 2994: 2993: 2968: 2965: 2964: 2930: 2910: 2906: 2905: 2901: 2900: 2894: 2886: 2872: 2860: 2848: 2845: 2844: 2818: 2814: 2812: 2809: 2808: 2782: 2778: 2748: 2744: 2742: 2739: 2738: 2711: 2693: 2689: 2688: 2678: 2666: 2662: 2661: 2652: 2640: 2636: 2635: 2621: 2609: 2597: 2594: 2593: 2576: 2572: 2564: 2561: 2560: 2544: 2541: 2540: 2515: 2512: 2511: 2495: 2492: 2491: 2459: 2455: 2453: 2450: 2449: 2417: 2414: 2413: 2380: 2377: 2376: 2343: 2336: 2302: 2299: 2298: 2279: 2276: 2275: 2255: 2251: 2249: 2246: 2245: 2215: 2204: 2203: 2202: 2200: 2197: 2196: 2174: 2154: 2143: 2142: 2141: 2140: 2136: 2135: 2134: 2123: 2090: 2086: 2080: 2076: 2070: 2056: 2051: 2047: 2046: 2044: 2037: 2033: 2012: 1987: 1976: 1975: 1974: 1972: 1969: 1968: 1932: 1928: 1919: 1915: 1913: 1910: 1909: 1892: 1888: 1886: 1883: 1882: 1859: 1856: 1855: 1833: 1819: 1816: 1815: 1786: 1783: 1782: 1763: 1757: 1753: 1742: 1739: 1738: 1716: 1702: 1699: 1698: 1682: 1679: 1678: 1653: 1650: 1649: 1630: 1627: 1626: 1623:bandpass filter 1606: 1603: 1602: 1573: 1562: 1561: 1560: 1558: 1555: 1554: 1535: 1529: 1525: 1514: 1511: 1510: 1491: 1485: 1481: 1470: 1467: 1466: 1450: 1447: 1446: 1422: 1419: 1418: 1402:represents the 1378: 1375: 1374: 1338: 1335: 1334: 1331:autocorrelation 1301: 1290: 1289: 1288: 1286: 1283: 1282: 1279: 1248: 1223: 1222: 1221: 1217: 1216: 1195: 1184: 1183: 1182: 1180: 1177: 1176: 1169:is defined as: 1145: 1142: 1141: 1136:Therefore, the 1109: 1106: 1105: 1089: 1086: 1085: 1058: 1033: 1032: 1031: 1027: 1026: 1024: 1021: 1020: 1000: 997: 996: 968: 965: 964: 907: 903: 897: 889: 862: 861: 859: 856: 855: 828: 803: 802: 801: 797: 796: 790: 782: 762: 757: 756: 739: 733: 725: 719: 716: 715: 680: 662: 658: 657: 651: 643: 631: 628: 627: 602: 599: 598: 582: 579: 578: 563: 560:energy spectrum 556: 551: 531: 429: 423: 357: 354: 353: 325: 322: 321: 296: 293: 292: 259: 255: 253: 250: 249: 197: 194: 193: 164: 161: 160: 155:continuous time 125: 121: 119: 116: 115: 104: 93: 87: 84: 76:help improve it 73: 64: 60: 33: 24: 17: 12: 11: 5: 10342: 10332: 10331: 10326: 10324:Radio spectrum 10321: 10316: 10311: 10306: 10301: 10296: 10279: 10278: 10276: 10275: 10270: 10265: 10260: 10255: 10251: 10248: 10247: 10245: 10244: 10239: 10234: 10229: 10224: 10219: 10214: 10208: 10203: 10202: 10201: 10191: 10186: 10181: 10174: 10171: 10170: 10159: 10158: 10151: 10144: 10136: 10130: 10129: 10122: 10121:External links 10119: 10118: 10117: 10111: 10098: 10092: 10079: 10073: 10060: 10054: 10041: 10027: 10014: 10008: 9995: 9959:(4): 858–866. 9944: 9901: 9895: 9882: 9876: 9863: 9857: 9842: 9839: 9836: 9835: 9817: 9805: 9793: 9778: 9766: 9764:, p. 431. 9754: 9742: 9735: 9715: 9713:, p. 433. 9703: 9691: 9679: 9667: 9655: 9643: 9613: 9601: 9589: 9577: 9550: 9549: 9546: 9545: 9522: 9519: 9515: 9480: 9477: 9473: 9448: 9431: 9427: 9424: 9420: 9417: 9414: 9411: 9391: 9388: 9384: 9381: 9377: 9374: 9371: 9368: 9365: 9362: 9359: 9356: 9353: 9350: 9347: 9344: 9341: 9337: 9334: 9330: 9325: 9318: 9315: 9308: 9305: 9302: 9296: 9293: 9287: 9266: 9265: 9263: 9260: 9259: 9258: 9253: 9248: 9243: 9238: 9233: 9228: 9223: 9218: 9213: 9208: 9201: 9198: 9190: 9187: 9166:remote sensing 9133: 9130: 9095:(perceived as 9082: 9079: 9078: 9077: 9061: 9033: 9030: 9027: 9024: 9000:spectral phase 8996:phase spectrum 8972: 8954: 8951:spectral bands 8939:remote sensing 8935:envelope curve 8927: 8922:and stages of 8888: 8870: 8867: 8840:non-parametric 8820:Main article: 8817: 8814: 8802: 8799: 8791: 8787: 8783: 8780: 8777: 8774: 8771: 8767: 8763: 8758: 8754: 8750: 8745: 8742: 8738: 8732: 8727: 8724: 8721: 8718: 8714: 8710: 8707: 8704: 8701: 8696: 8693: 8689: 8674: 8665: 8648: 8645: 8642: 8637: 8634: 8630: 8626: 8623: 8620: 8617: 8614: 8609: 8606: 8602: 8598: 8595: 8586: 8557: 8554: 8551: 8545: 8542: 8519: 8516: 8513: 8507: 8504: 8481: 8478: 8475: 8472: 8452: 8449: 8446: 8443: 8423: 8420: 8417: 8414: 8411: 8408: 8405: 8402: 8399: 8379: 8376: 8373: 8370: 8350: 8347: 8344: 8341: 8321: 8318: 8315: 8310: 8307: 8303: 8282: 8279: 8276: 8273: 8253: 8250: 8247: 8244: 8220: 8217: 8214: 8209: 8206: 8202: 8177: 8174: 8171: 8166: 8163: 8160: 8157: 8154: 8151: 8147: 8143: 8140: 8137: 8132: 8129: 8125: 8119: 8114: 8111: 8107: 8103: 8100: 8097: 8092: 8089: 8086: 8083: 8080: 8077: 8073: 8068: 8064: 8061: 8058: 8055: 8052: 8047: 8043: 8039: 8036: 8033: 8030: 8027: 8022: 8017: 8013: 8007: 8002: 7999: 7995: 7989: 7986: 7979: 7976: 7973: 7969: 7964: 7958: 7953: 7950: 7946: 7942: 7939: 7937: 7935: 7932: 7929: 7924: 7921: 7917: 7913: 7912: 7909: 7906: 7901: 7898: 7895: 7892: 7889: 7886: 7882: 7878: 7875: 7872: 7867: 7864: 7860: 7854: 7849: 7846: 7842: 7838: 7835: 7832: 7827: 7824: 7821: 7818: 7815: 7812: 7808: 7803: 7799: 7796: 7793: 7790: 7787: 7782: 7778: 7774: 7771: 7768: 7765: 7762: 7757: 7752: 7748: 7742: 7737: 7734: 7730: 7724: 7721: 7714: 7711: 7708: 7704: 7699: 7693: 7688: 7685: 7681: 7677: 7674: 7672: 7670: 7667: 7664: 7659: 7656: 7652: 7648: 7647: 7623: 7620: 7617: 7593: 7590: 7587: 7582: 7579: 7575: 7571: 7568: 7565: 7562: 7557: 7552: 7549: 7545: 7524: 7521: 7518: 7513: 7510: 7506: 7485: 7482: 7479: 7474: 7471: 7467: 7441: 7437: 7434: 7431: 7426: 7419: 7416: 7409: 7406: 7403: 7398: 7393: 7386: 7383: 7375: 7369: 7366: 7359: 7356: 7353: 7349: 7345: 7342: 7340: 7338: 7335: 7332: 7327: 7324: 7320: 7316: 7313: 7309: 7306: 7303: 7298: 7291: 7288: 7281: 7278: 7275: 7270: 7265: 7258: 7255: 7247: 7241: 7238: 7231: 7228: 7225: 7221: 7217: 7214: 7212: 7210: 7207: 7204: 7199: 7196: 7192: 7188: 7187: 7161: 7158: 7153: 7148: 7143: 7140: 7137: 7132: 7128: 7123: 7119: 7116: 7113: 7110: 7105: 7101: 7097: 7094: 7091: 7086: 7081: 7077: 7073: 7070: 7067: 7064: 7059: 7055: 7051: 7048: 7045: 7040: 7035: 7031: 7027: 7022: 7017: 7012: 7009: 7006: 7001: 6997: 6992: 6986: 6981: 6978: 6974: 6968: 6965: 6958: 6955: 6952: 6948: 6944: 6941: 6939: 6937: 6934: 6931: 6927: 6923: 6920: 6917: 6912: 6908: 6904: 6901: 6898: 6895: 6890: 6886: 6881: 6875: 6870: 6866: 6863: 6860: 6855: 6851: 6847: 6844: 6841: 6838: 6833: 6829: 6824: 6817: 6812: 6809: 6805: 6799: 6796: 6789: 6786: 6783: 6779: 6775: 6772: 6770: 6768: 6765: 6764: 6728: 6725: 6722: 6717: 6714: 6710: 6689: 6686: 6683: 6678: 6675: 6671: 6650: 6647: 6644: 6641: 6621: 6618: 6615: 6612: 6594: 6591: 6589: 6588: 6569: 6565: 6562: 6558: 6554: 6550: 6547: 6543: 6538: 6535: 6531: 6525: 6520: 6516: 6512: 6509: 6506: 6503: 6500: 6497: 6473: 6470: 6467: 6464: 6437: 6434: 6431: 6426: 6423: 6419: 6399: 6388: 6385: 6381: 6378: 6375: 6370: 6367: 6363: 6356: 6351: 6348: 6344: 6340: 6337: 6334: 6331: 6328: 6325: 6322: 6319: 6300: 6293: 6283: 6273: 6261: 6258: 6255: 6250: 6247: 6243: 6239: 6236: 6233: 6230: 6227: 6222: 6219: 6215: 6205:of frequency: 6198: 6193: 6190: 6166: 6142: 6122: 6100: 6095: 6089: 6086: 6082: 6079: 6076: 6073: 6070: 6067: 6063: 6057: 6053: 6047: 6042: 6039: 6036: 6033: 6029: 6024: 6017: 6011: 6007: 6003: 6000: 5997: 5989: 5986: 5983: 5979: 5975: 5972: 5969: 5966: 5961: 5958: 5954: 5933: 5930: 5926: 5923: 5920: 5917: 5914: 5911: 5908: 5905: 5885: 5882: 5879: 5875: 5872: 5869: 5864: 5860: 5856: 5851: 5847: 5826: 5823: 5820: 5817: 5814: 5811: 5789: 5785: 5757: 5754: 5751: 5748: 5723: 5719: 5715: 5695: 5691: 5687: 5667: 5647: 5644: 5640: 5637: 5634: 5629: 5626: 5622: 5614: 5610: 5602: 5598: 5593: 5589: 5586: 5575: 5554: 5551: 5548: 5543: 5540: 5536: 5532: 5529: 5526: 5523: 5520: 5515: 5512: 5508: 5485: 5481: 5477: 5472: 5468: 5464: 5461: 5441: 5436: 5432: 5428: 5423: 5419: 5415: 5394: 5393: 5384: 5382: 5371: 5368: 5365: 5360: 5357: 5350: 5347: 5340: 5337: 5334: 5328: 5325: 5322: 5319: 5316: 5313: 5309: 5305: 5302: 5299: 5294: 5291: 5287: 5281: 5276: 5273: 5269: 5265: 5262: 5259: 5256: 5251: 5248: 5244: 5230: 5213: 5210: 5207: 5204: 5182: 5179: 5174: 5171: 5168: 5165: 5162: 5159: 5155: 5151: 5148: 5145: 5140: 5137: 5133: 5127: 5122: 5119: 5115: 5111: 5108: 5105: 5097: 5094: 5091: 5088: 5085: 5082: 5078: 5073: 5069: 5066: 5063: 5060: 5057: 5052: 5048: 5044: 5041: 5038: 5035: 5032: 5027: 5022: 5018: 5012: 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4248: 4242: 4237: 4233: 4229: 4226: 4223: 4220: 4215: 4210: 4206: 4201: 4195: 4190: 4187: 4185: 4183: 4180: 4177: 4174: 4169: 4162: 4159: 4152: 4147: 4143: 4139: 4136: 4133: 4128: 4121: 4118: 4111: 4108: 4105: 4103: 4099: 4094: 4090: 4087: 4084: 4079: 4072: 4069: 4061: 4056: 4055: 4035: 4032: 4029: 4026: 4021: 4016: 4012: 4008: 4005: 4002: 3999: 3996: 3970: 3965: 3961: 3958: 3955: 3950: 3943: 3940: 3932: 3927: 3924: 3922: 3920: 3915: 3910: 3905: 3901: 3898: 3895: 3890: 3886: 3881: 3875: 3869: 3864: 3861: 3859: 3857: 3852: 3847: 3843: 3840: 3835: 3832: 3829: 3826: 3823: 3820: 3816: 3812: 3809: 3806: 3801: 3797: 3791: 3786: 3783: 3779: 3774: 3769: 3766: 3764: 3762: 3759: 3756: 3751: 3747: 3741: 3738: 3735: 3732: 3729: 3726: 3722: 3718: 3715: 3712: 3709: 3704: 3699: 3695: 3689: 3684: 3681: 3677: 3673: 3670: 3668: 3666: 3663: 3660: 3655: 3652: 3649: 3646: 3643: 3639: 3635: 3632: 3629: 3624: 3619: 3615: 3609: 3604: 3601: 3597: 3593: 3590: 3588: 3586: 3583: 3580: 3575: 3572: 3569: 3566: 3563: 3560: 3556: 3552: 3549: 3546: 3543: 3538: 3533: 3529: 3523: 3518: 3515: 3511: 3507: 3504: 3502: 3499: 3495: 3492: 3489: 3486: 3481: 3476: 3472: 3467: 3461: 3456: 3455: 3435: 3432: 3429: 3424: 3420: 3399: 3396: 3393: 3390: 3385: 3380: 3376: 3345: 3340: 3335: 3332: 3329: 3324: 3317: 3314: 3306: 3287: 3286: 3277: 3275: 3261: 3256: 3251: 3248: 3245: 3240: 3233: 3230: 3222: 3216: 3213: 3206: 3203: 3200: 3196: 3192: 3189: 3186: 3183: 3178: 3175: 3171: 3157: 3142: 3139: 3133: 3128: 3123: 3120: 3117: 3112: 3105: 3102: 3094: 3088: 3083: 3080: 3076: 3070: 3067: 3060: 3057: 3054: 3050: 3046: 3043: 3019: 3016: 3013: 3007: 3004: 2981: 2978: 2975: 2972: 2945: 2942: 2939: 2933: 2928: 2924: 2921: 2918: 2913: 2909: 2904: 2897: 2892: 2889: 2885: 2879: 2876: 2869: 2866: 2863: 2859: 2855: 2852: 2832: 2829: 2826: 2821: 2817: 2796: 2793: 2790: 2785: 2781: 2777: 2774: 2771: 2768: 2765: 2762: 2759: 2756: 2751: 2747: 2723: 2720: 2714: 2709: 2705: 2702: 2699: 2696: 2692: 2685: 2681: 2677: 2674: 2669: 2665: 2659: 2655: 2651: 2648: 2643: 2639: 2634: 2628: 2625: 2618: 2615: 2612: 2608: 2604: 2601: 2579: 2575: 2571: 2568: 2548: 2528: 2525: 2522: 2519: 2499: 2473: 2470: 2467: 2462: 2458: 2430: 2427: 2424: 2421: 2406:power spectrum 2393: 2390: 2387: 2384: 2335: 2332: 2315: 2312: 2309: 2306: 2286: 2283: 2263: 2258: 2254: 2229: 2226: 2223: 2218: 2211: 2208: 2184: 2177: 2172: 2168: 2165: 2162: 2157: 2150: 2147: 2139: 2131: 2126: 2121: 2115: 2112: 2108: 2105: 2102: 2099: 2096: 2093: 2089: 2083: 2079: 2073: 2068: 2065: 2062: 2059: 2055: 2050: 2040: 2036: 2032: 2029: 2026: 2021: 2018: 2015: 2011: 2007: 2004: 2001: 1998: 1993: 1990: 1983: 1980: 1956: 1953: 1950: 1946: 1943: 1940: 1935: 1931: 1927: 1922: 1918: 1895: 1891: 1863: 1843: 1840: 1836: 1832: 1829: 1826: 1823: 1799: 1796: 1793: 1790: 1770: 1766: 1760: 1756: 1752: 1749: 1746: 1726: 1723: 1719: 1715: 1712: 1709: 1706: 1686: 1666: 1663: 1660: 1657: 1637: 1634: 1610: 1590: 1587: 1584: 1579: 1576: 1569: 1566: 1542: 1538: 1532: 1528: 1524: 1521: 1518: 1498: 1494: 1488: 1484: 1480: 1477: 1474: 1454: 1426: 1391: 1388: 1385: 1382: 1351: 1348: 1345: 1342: 1318: 1315: 1312: 1307: 1304: 1297: 1294: 1276: 1275: 1266: 1264: 1251: 1246: 1242: 1239: 1236: 1230: 1227: 1220: 1215: 1212: 1209: 1206: 1201: 1198: 1191: 1188: 1171: 1158: 1155: 1152: 1149: 1122: 1119: 1116: 1113: 1093: 1069: 1066: 1061: 1056: 1052: 1049: 1046: 1040: 1037: 1030: 1004: 981: 978: 975: 972: 948: 945: 939: 936: 933: 930: 925: 922: 919: 916: 913: 910: 906: 900: 895: 892: 888: 884: 881: 878: 875: 869: 866: 843: 840: 837: 831: 826: 822: 819: 816: 810: 807: 800: 793: 788: 785: 781: 777: 774: 771: 765: 760: 755: 752: 749: 746: 742: 736: 731: 728: 724: 697: 694: 691: 683: 678: 674: 671: 668: 665: 661: 654: 649: 646: 642: 638: 635: 615: 612: 609: 606: 586: 555: 552: 550: 547: 530: 527: 422: 419: 370: 367: 364: 361: 329: 309: 306: 303: 300: 273: 270: 267: 262: 258: 237:power spectrum 201: 177: 174: 171: 168: 142: 139: 136: 131: 128: 124: 106: 105: 67: 65: 58: 30:Spectral power 15: 9: 6: 4: 3: 2: 10341: 10330: 10327: 10325: 10322: 10320: 10317: 10315: 10312: 10310: 10307: 10305: 10302: 10300: 10297: 10295: 10292: 10291: 10289: 10274: 10271: 10269: 10266: 10264: 10261: 10259: 10256: 10253: 10252: 10249: 10243: 10240: 10238: 10235: 10233: 10230: 10228: 10225: 10223: 10220: 10218: 10215: 10212: 10209: 10207: 10204: 10200: 10197: 10196: 10195: 10192: 10190: 10187: 10185: 10182: 10179: 10176: 10175: 10172: 10167: 10164: 10157: 10152: 10150: 10145: 10143: 10138: 10137: 10134: 10128: 10125: 10124: 10114: 10108: 10104: 10099: 10095: 10089: 10085: 10080: 10076: 10070: 10066: 10061: 10057: 10051: 10047: 10042: 10038: 10034: 10030: 10024: 10020: 10015: 10011: 10005: 10001: 10000:VSAT Networks 9996: 9992: 9988: 9984: 9980: 9975: 9974:10044/1/46059 9970: 9966: 9962: 9958: 9954: 9950: 9945: 9941: 9937: 9932: 9927: 9923: 9919: 9915: 9911: 9907: 9902: 9898: 9892: 9888: 9883: 9879: 9873: 9869: 9864: 9860: 9854: 9850: 9845: 9844: 9828: 9821: 9814: 9809: 9802: 9797: 9789: 9782: 9775: 9770: 9763: 9758: 9751: 9746: 9738: 9732: 9728: 9727: 9719: 9712: 9707: 9700: 9695: 9688: 9683: 9677:, p. 14. 9676: 9671: 9664: 9659: 9653:, p. 12. 9652: 9647: 9633:on 2024-04-15 9632: 9628: 9624: 9617: 9611:, p. 83. 9610: 9609:Birolini 2007 9605: 9598: 9593: 9586: 9581: 9570: 9566: 9560: 9558: 9556: 9551: 9542: 9538: 9520: 9517: 9513: 9504: 9500: 9496: 9495:distributions 9478: 9475: 9471: 9462: 9458: 9452: 9445: 9425: 9422: 9418: 9415: 9409: 9389: 9382: 9379: 9375: 9372: 9366: 9360: 9354: 9351: 9348: 9345: 9335: 9332: 9323: 9313: 9303: 9291: 9277: 9271: 9267: 9257: 9254: 9252: 9249: 9247: 9244: 9242: 9239: 9237: 9234: 9232: 9229: 9227: 9224: 9222: 9219: 9217: 9214: 9212: 9209: 9207: 9204: 9203: 9197: 9195: 9186: 9184: 9179: 9177: 9176: 9175:power spectra 9171: 9167: 9163: 9159: 9155: 9151: 9143: 9138: 9129: 9127: 9122: 9118: 9114: 9110: 9106: 9102: 9098: 9094: 9093:visible light 9088: 9074: 9070: 9066: 9062: 9059: 9055: 9051: 9047: 9028: 9022: 9015: 9011: 9010: 9005: 9001: 8997: 8993: 8989: 8985: 8981: 8977: 8973: 8970: 8966: 8962: 8961: 8955: 8952: 8948: 8944: 8940: 8936: 8932: 8928: 8925: 8921: 8917: 8913: 8909: 8905: 8901: 8897: 8893: 8889: 8886: 8885: 8880: 8879: 8876: 8866: 8864: 8860: 8856: 8851: 8849: 8845: 8841: 8837: 8833: 8832:random signal 8829: 8823: 8813: 8800: 8789: 8785: 8781: 8778: 8775: 8772: 8769: 8765: 8756: 8752: 8743: 8740: 8736: 8722: 8719: 8716: 8712: 8708: 8702: 8694: 8691: 8687: 8677: 8668: 8659: 8643: 8635: 8632: 8628: 8624: 8621: 8615: 8607: 8604: 8600: 8596: 8593: 8584: 8575: 8571: 8552: 8540: 8514: 8502: 8476: 8470: 8447: 8441: 8418: 8412: 8409: 8403: 8397: 8374: 8368: 8345: 8339: 8316: 8308: 8305: 8301: 8277: 8271: 8248: 8242: 8234: 8215: 8207: 8204: 8200: 8175: 8172: 8169: 8164: 8161: 8158: 8155: 8152: 8149: 8145: 8138: 8130: 8127: 8123: 8109: 8105: 8101: 8098: 8095: 8090: 8087: 8084: 8081: 8078: 8075: 8071: 8066: 8062: 8059: 8053: 8045: 8041: 8034: 8031: 8028: 8020: 8015: 8011: 7997: 7993: 7987: 7984: 7971: 7962: 7948: 7944: 7940: 7938: 7930: 7922: 7919: 7915: 7907: 7904: 7899: 7896: 7893: 7890: 7887: 7884: 7880: 7873: 7865: 7862: 7858: 7844: 7840: 7836: 7833: 7830: 7825: 7822: 7819: 7816: 7813: 7810: 7806: 7801: 7797: 7794: 7788: 7780: 7776: 7769: 7766: 7763: 7755: 7750: 7746: 7732: 7728: 7722: 7719: 7706: 7697: 7683: 7679: 7675: 7673: 7665: 7657: 7654: 7650: 7637: 7615: 7607: 7588: 7580: 7577: 7573: 7569: 7563: 7555: 7550: 7547: 7543: 7519: 7511: 7508: 7504: 7480: 7472: 7469: 7465: 7439: 7432: 7424: 7414: 7404: 7396: 7391: 7381: 7373: 7367: 7364: 7351: 7343: 7341: 7333: 7325: 7322: 7318: 7311: 7304: 7296: 7286: 7276: 7268: 7263: 7253: 7245: 7239: 7236: 7223: 7215: 7213: 7205: 7197: 7194: 7190: 7176: 7159: 7156: 7151: 7138: 7130: 7126: 7117: 7111: 7103: 7099: 7092: 7084: 7079: 7075: 7071: 7065: 7057: 7053: 7046: 7038: 7033: 7029: 7025: 7020: 7007: 6999: 6995: 6976: 6972: 6966: 6963: 6950: 6942: 6940: 6932: 6929: 6925: 6918: 6910: 6906: 6902: 6896: 6888: 6884: 6879: 6873: 6868: 6861: 6853: 6849: 6845: 6839: 6831: 6827: 6822: 6807: 6803: 6797: 6794: 6781: 6773: 6771: 6766: 6754: 6750: 6746: 6742: 6723: 6715: 6712: 6708: 6684: 6676: 6673: 6669: 6645: 6639: 6616: 6610: 6600: 6584: 6567: 6563: 6560: 6556: 6548: 6545: 6536: 6533: 6529: 6523: 6518: 6514: 6510: 6507: 6501: 6495: 6487: 6468: 6462: 6455: 6451: 6432: 6424: 6421: 6417: 6408: 6404: 6400: 6386: 6383: 6376: 6368: 6365: 6361: 6346: 6342: 6338: 6332: 6326: 6323: 6320: 6317: 6309: 6305: 6301: 6299: 6291: 6286: 6282: 6278: 6274: 6256: 6248: 6245: 6241: 6237: 6231: 6228: 6220: 6217: 6213: 6204: 6203:even function 6200: 6199: 6197: 6189: 6187: 6183: 6178: 6164: 6156: 6140: 6120: 6098: 6093: 6087: 6080: 6077: 6074: 6071: 6068: 6065: 6061: 6055: 6051: 6045: 6040: 6037: 6034: 6031: 6027: 6022: 6015: 6009: 6001: 5981: 5973: 5967: 5959: 5956: 5952: 5931: 5921: 5918: 5915: 5912: 5906: 5903: 5880: 5873: 5867: 5862: 5858: 5854: 5849: 5845: 5824: 5821: 5818: 5815: 5812: 5809: 5787: 5783: 5774: 5773:discrete time 5769: 5752: 5746: 5738: 5721: 5717: 5713: 5693: 5689: 5685: 5665: 5645: 5642: 5635: 5627: 5624: 5620: 5612: 5608: 5600: 5596: 5591: 5587: 5584: 5573: 5549: 5541: 5538: 5534: 5530: 5524: 5521: 5513: 5510: 5506: 5483: 5479: 5475: 5470: 5466: 5462: 5459: 5434: 5430: 5426: 5421: 5417: 5404: 5402: 5392: 5385: 5383: 5366: 5358: 5355: 5345: 5338: 5335: 5332: 5326: 5323: 5320: 5317: 5314: 5311: 5307: 5300: 5292: 5289: 5285: 5271: 5267: 5263: 5257: 5249: 5246: 5242: 5234: 5233: 5229: 5227: 5208: 5202: 5193: 5180: 5177: 5172: 5169: 5166: 5163: 5160: 5157: 5153: 5146: 5138: 5135: 5131: 5117: 5113: 5109: 5106: 5103: 5095: 5092: 5089: 5086: 5083: 5080: 5076: 5071: 5067: 5064: 5058: 5050: 5046: 5039: 5036: 5033: 5025: 5020: 5016: 5002: 4998: 4992: 4989: 4976: 4967: 4953: 4949: 4945: 4940: 4935: 4928: 4920: 4910: 4902: 4895: 4892: 4879: 4866: 4847: 4841: 4818: 4810: 4807: 4803: 4779: 4773: 4765: 4743: 4723: 4714: 4712: 4692: 4689: 4686: 4678: 4675: 4672: 4669: 4666: 4663: 4659: 4654: 4650: 4647: 4641: 4633: 4629: 4622: 4619: 4616: 4608: 4603: 4599: 4585: 4581: 4576: 4562: 4558: 4554: 4552: 4544: 4541: 4536: 4533: 4530: 4527: 4524: 4521: 4517: 4512: 4508: 4505: 4499: 4491: 4487: 4480: 4477: 4474: 4468: 4455: 4451: 4446: 4432: 4428: 4424: 4422: 4413: 4406: 4398: 4394: 4380: 4374: 4370: 4359: 4357: 4348: 4341: 4333: 4329: 4324: 4313: 4309: 4302: 4296: 4292: 4281: 4279: 4270: 4263: 4255: 4251: 4246: 4235: 4231: 4224: 4221: 4213: 4208: 4204: 4199: 4188: 4186: 4175: 4167: 4157: 4150: 4145: 4134: 4126: 4116: 4106: 4104: 4097: 4092: 4085: 4077: 4067: 4059: 4030: 4027: 4019: 4014: 4010: 4006: 4000: 3994: 3968: 3963: 3956: 3948: 3938: 3930: 3925: 3923: 3913: 3908: 3903: 3896: 3888: 3884: 3879: 3867: 3862: 3860: 3850: 3845: 3841: 3838: 3833: 3830: 3827: 3824: 3821: 3818: 3814: 3807: 3799: 3795: 3781: 3777: 3772: 3767: 3765: 3757: 3754: 3749: 3739: 3736: 3733: 3730: 3727: 3724: 3720: 3710: 3702: 3697: 3693: 3679: 3675: 3671: 3669: 3661: 3658: 3653: 3650: 3647: 3644: 3641: 3637: 3630: 3622: 3617: 3613: 3599: 3595: 3591: 3589: 3581: 3578: 3573: 3570: 3567: 3564: 3561: 3558: 3554: 3547: 3544: 3536: 3531: 3527: 3513: 3509: 3505: 3503: 3497: 3490: 3487: 3479: 3474: 3470: 3465: 3430: 3422: 3418: 3394: 3391: 3383: 3378: 3374: 3365: 3361: 3343: 3330: 3322: 3312: 3295: 3285: 3278: 3276: 3259: 3246: 3238: 3228: 3214: 3211: 3198: 3190: 3184: 3176: 3173: 3169: 3161: 3160: 3156: 3153: 3140: 3137: 3131: 3118: 3110: 3100: 3078: 3074: 3068: 3065: 3052: 3044: 3041: 3033: 3014: 3002: 2976: 2970: 2961: 2959: 2943: 2940: 2937: 2931: 2926: 2919: 2911: 2907: 2902: 2887: 2883: 2877: 2874: 2861: 2853: 2850: 2827: 2819: 2815: 2791: 2783: 2779: 2772: 2766: 2763: 2757: 2749: 2745: 2734: 2721: 2718: 2712: 2707: 2700: 2694: 2690: 2683: 2679: 2675: 2672: 2667: 2663: 2657: 2653: 2649: 2646: 2641: 2637: 2632: 2626: 2623: 2610: 2602: 2599: 2577: 2573: 2569: 2566: 2546: 2523: 2517: 2497: 2488: 2486: 2468: 2460: 2456: 2447: 2444: 2425: 2419: 2411: 2407: 2388: 2382: 2374: 2369: 2365: 2361: 2352: 2347: 2341: 2331: 2329: 2313: 2307: 2284: 2261: 2256: 2252: 2243: 2224: 2216: 2206: 2182: 2175: 2170: 2163: 2155: 2145: 2137: 2129: 2124: 2119: 2113: 2106: 2103: 2100: 2097: 2094: 2091: 2087: 2081: 2077: 2071: 2066: 2063: 2060: 2057: 2053: 2048: 2038: 2030: 2013: 2005: 1999: 1991: 1988: 1978: 1951: 1944: 1938: 1933: 1929: 1925: 1920: 1916: 1893: 1889: 1880: 1875: 1861: 1841: 1834: 1827: 1821: 1813: 1794: 1788: 1768: 1764: 1758: 1750: 1744: 1724: 1717: 1710: 1704: 1684: 1661: 1655: 1635: 1624: 1608: 1601:at frequency 1585: 1577: 1574: 1564: 1540: 1536: 1530: 1522: 1516: 1496: 1492: 1486: 1478: 1472: 1452: 1444: 1440: 1424: 1417: 1413: 1409: 1405: 1386: 1380: 1371: 1369: 1365: 1346: 1340: 1332: 1313: 1305: 1302: 1292: 1281:The function 1274: 1267: 1265: 1249: 1244: 1237: 1225: 1218: 1213: 1207: 1199: 1196: 1186: 1175: 1174: 1170: 1153: 1147: 1139: 1134: 1120: 1117: 1114: 1111: 1091: 1083: 1067: 1064: 1059: 1054: 1047: 1035: 1028: 1018: 1002: 995: 976: 970: 962: 946: 943: 934: 928: 923: 920: 917: 914: 911: 908: 904: 890: 886: 882: 876: 864: 841: 838: 835: 829: 824: 817: 805: 798: 783: 779: 775: 772: 769: 763: 750: 744: 726: 722: 713: 708: 695: 692: 689: 681: 676: 669: 663: 659: 644: 640: 636: 633: 610: 604: 584: 576: 572: 568: 561: 546: 544: 540: 536: 526: 524: 520: 515: 513: 509: 505: 501: 497: 491: 489: 485: 481: 477: 473: 469: 464: 462: 458: 454: 450: 446: 442: 441:acoustic wave 438: 434: 428: 418: 416: 412: 408: 404: 400: 394: 392: 388: 384: 365: 359: 351: 347: 343: 327: 304: 298: 289: 287: 268: 260: 256: 247: 242: 238: 234: 230: 225: 223: 219: 215: 199: 191: 172: 166: 159: 156: 137: 129: 126: 122: 113: 102: 99: 91: 81: 77: 71: 68:This article 66: 57: 56: 49: 42: 37: 31: 26: 22: 10309:Spectroscopy 10268:signal noise 10102: 10083: 10064: 10045: 10018: 9999: 9956: 9952: 9913: 9909: 9886: 9867: 9848: 9820: 9808: 9796: 9781: 9769: 9757: 9745: 9729:. Springer. 9725: 9718: 9706: 9694: 9682: 9670: 9658: 9646: 9635:. Retrieved 9631:the original 9626: 9616: 9604: 9592: 9580: 9451: 9270: 9192: 9180: 9178:of signals. 9174: 9173: 9156:, including 9147: 9126:notch filter 9120: 9090: 9081:Applications 9072: 9068: 9064: 9007: 8999: 8995: 8991: 8958: 8953:of interest. 8943:spectrometer 8930: 8911: 8907: 8906:below which 8899: 8895: 8891: 8882: 8859:Welch method 8852: 8825: 8672: 8663: 8660: 8573: 8569: 7605: 7177: 6752: 6748: 6744: 6740: 6602: 6582: 6485: 6453: 6449: 6406: 6402: 6289: 6284: 6280: 6195: 6179: 5770: 5405: 5400: 5398: 5386: 5194: 4715: 3987:and making, 3362:of the time 3291: 3279: 3154: 2962: 2957: 2735: 2510:of a signal 2489: 2405: 2359: 2356: 1876: 1465:is equal to 1372: 1280: 1268: 1137: 1135: 709: 597:of a signal 564: 538: 534: 532: 522: 518: 516: 510:denotes the 507: 504:acceleration 499: 492: 479: 472:proportional 471: 465: 444: 430: 395: 391:spectrograph 290: 240: 236: 232: 228: 226: 109: 94: 85: 69: 25: 10263:link budget 9058:group delay 9054:phase noise 8960:spectrogram 8848:periodogram 6486:bandlimited 6155:periodogram 5579:bandlimited 4046:, we have: 3364:convolution 1368:Periodogram 571:time series 498:, units of 411:engineering 10314:Scattering 10288:Categories 9841:References 9663:Stein 2000 9637:2024-06-26 9585:Maral 2004 9206:Bispectrum 9109:wavelength 8920:anesthesia 8836:parametric 8816:Estimation 7638:function. 6597:See also: 6133:(and thus 5775:variables 4709:where the 1366:(see also 549:Definition 496:vibrations 425:See also: 10180:(or dBmW) 10037:696092052 9991:206608057 9423:ω 9419:− 9416:ω 9410:δ 9380:ω 9376:− 9373:ω 9367:δ 9361:ω 9352:π 9343:⟩ 9333:ω 9324:∗ 9317:^ 9304:ω 9295:^ 9286:⟨ 9189:Cosmology 9117:harmonics 9113:sine wave 8980:Bode plot 8904:frequency 8801:τ 8798:Δ 8786:τ 8779:π 8770:− 8753:τ 8731:∞ 8726:∞ 8723:− 8713:∑ 8544:^ 8506:^ 8317:τ 8216:τ 8173:τ 8165:τ 8159:π 8150:− 8139:τ 8118:∞ 8113:∞ 8110:− 8106:∫ 8099:τ 8091:τ 8085:π 8076:− 8035:τ 8032:− 8021:∗ 8006:∞ 8001:∞ 7998:− 7994:∫ 7978:∞ 7975:→ 7957:∞ 7952:∞ 7949:− 7945:∫ 7908:τ 7900:τ 7894:π 7885:− 7874:τ 7853:∞ 7848:∞ 7845:− 7841:∫ 7834:τ 7826:τ 7820:π 7811:− 7770:τ 7767:− 7756:∗ 7741:∞ 7736:∞ 7733:− 7729:∫ 7713:∞ 7710:→ 7692:∞ 7687:∞ 7684:− 7680:∫ 7622:∞ 7619:→ 7556:∗ 7418:^ 7397:∗ 7385:^ 7358:∞ 7355:→ 7290:^ 7269:∗ 7257:^ 7230:∞ 7227:→ 7085:∗ 7039:∗ 6985:∞ 6980:∞ 6977:− 6973:∫ 6957:∞ 6954:→ 6874:∗ 6816:∞ 6811:∞ 6808:− 6804:∫ 6788:∞ 6785:→ 6515:∫ 6355:∞ 6350:∞ 6347:− 6343:∫ 6327:⁡ 6229:− 6085:Δ 6075:π 6066:− 6038:− 6028:∑ 5999:Δ 5988:∞ 5985:→ 5929:Δ 5878:Δ 5822:≤ 5816:≤ 5810:− 5592:∫ 5522:− 5349:^ 5336:τ 5327:τ 5321:π 5312:− 5301:τ 5280:∞ 5275:∞ 5272:− 5268:∫ 5181:τ 5173:τ 5167:π 5158:− 5147:τ 5126:∞ 5121:∞ 5118:− 5114:∫ 5107:τ 5096:τ 5090:π 5081:− 5040:τ 5037:− 5026:∗ 5011:∞ 5006:∞ 5003:− 4999:∫ 4983:∞ 4980:→ 4962:∞ 4957:∞ 4954:− 4950:∫ 4914:^ 4886:∞ 4883:→ 4819:τ 4750:∞ 4747:→ 4690:τ 4679:τ 4673:π 4664:− 4623:τ 4620:− 4609:∗ 4594:∞ 4589:∞ 4586:− 4582:∫ 4571:∞ 4566:∞ 4563:− 4559:∫ 4545:τ 4537:τ 4531:π 4522:− 4478:− 4475:τ 4464:∞ 4459:∞ 4456:− 4452:∫ 4441:∞ 4436:∞ 4433:− 4429:∫ 4389:∗ 4314:⋅ 4236:⋅ 4222:− 4214:∗ 4161:^ 4151:⋅ 4146:∗ 4120:^ 4071:^ 4028:− 4020:∗ 3969:∗ 3942:^ 3914:∗ 3851:∗ 3828:π 3819:− 3790:∞ 3785:∞ 3782:− 3778:∫ 3750:∗ 3734:π 3725:− 3703:∗ 3688:∞ 3683:∞ 3680:− 3676:∫ 3648:π 3623:∗ 3608:∞ 3603:∞ 3600:− 3596:∫ 3568:π 3559:− 3545:− 3537:∗ 3522:∞ 3517:∞ 3514:− 3510:∫ 3488:− 3480:∗ 3392:− 3384:∗ 3316:^ 3232:^ 3205:∞ 3202:→ 3104:^ 3087:∞ 3082:∞ 3079:− 3075:∫ 3059:∞ 3056:→ 3006:^ 2896:∞ 2891:∞ 2888:− 2884:∫ 2868:∞ 2865:→ 2647:− 2633:∫ 2617:∞ 2614:→ 2311:→ 2305:Δ 2282:Δ 2210:^ 2149:^ 2130:⏟ 2111:Δ 2101:π 2092:− 2064:− 2054:∑ 2028:Δ 2020:∞ 2017:→ 1982:¯ 1949:Δ 1839:Δ 1722:Δ 1633:Δ 1568:¯ 1443:Ohm's law 1416:impedance 1404:potential 1296:¯ 1229:^ 1214:≜ 1190:¯ 1039:^ 994:frequency 918:π 909:− 899:∞ 894:∞ 891:− 887:∫ 883:≜ 868:^ 809:^ 792:∞ 787:∞ 784:− 780:∫ 735:∞ 730:∞ 727:− 723:∫ 653:∞ 648:∞ 645:− 641:∫ 637:≜ 539:two-sided 535:one-sided 488:watt-hour 476:impedance 246:Summation 88:June 2024 10254:See also 10166:suffixes 9983:28541914 9940:25113231 9565:P Stoica 9426:′ 9383:′ 9336:′ 9200:See also 9142:FM radio 9105:radio/TV 9087:Spectrum 8969:wavelets 8947:spectral 8941:using a 8828:estimate 6564:′ 6549:′ 6308:variance 5452:, where 2446:resistor 2373:variance 1329:and the 506:, where 453:SI units 222:spectrum 10213:(radar) 10163:Decibel 9931:4204008 9541:measure 9442:is the 8978:(e.g., 8933:is the 8231:is the 4865:ergodic 3358:as the 2410:voltage 2240:is the 1439:matched 854:where: 512:g-force 468:voltage 433:physics 407:physics 74:Please 10194:dBm/Hz 10109:  10090:  10071:  10052:  10035:  10025:  10006:  9989:  9981:  9938:  9928:  9893:  9874:  9855:  9733:  9402:where 9162:radars 8434:. If 8192:where 6302:Using 5401:define 5101:  4684:  2195:where 941:  687:  575:energy 567:energy 484:energy 346:timbre 158:signal 10304:Waves 10242:dB-Hz 9987:S2CID 9830:(PDF) 9572:(PDF) 9262:Notes 9101:pitch 9097:color 9073:shape 8998:, or 8988:phase 8984:chirp 8924:sleep 8361:with 8264:with 6747:) or 2485:watts 2368:power 1408:volts 461:hertz 457:watts 449:power 439:, an 421:Units 350:color 342:pitch 218:noise 190:power 153:of a 10237:dBrn 10232:dBFS 10217:dBsm 10168:(dB) 10107:ISBN 10088:ISBN 10069:ISBN 10050:ISBN 10033:OCLC 10023:ISBN 10004:ISBN 9979:PMID 9936:PMID 9891:ISBN 9872:ISBN 9853:ISBN 9731:ISBN 9455:The 8967:and 8890:The 8881:The 8670:and 8589:Full 8585:CPSD 8574:CPSD 8570:CPSD 8530:and 8463:and 8293:and 7606:CPSD 7496:and 6745:CPSD 6700:and 6632:and 5476:< 5463:< 5389:Eq.3 3410:and 3282:Eq.2 2807:and 1406:(in 1271:Eq.1 1015:(in 626:is: 459:per 409:and 344:and 10227:dBi 10222:dBc 10211:dBZ 10206:dBA 10199:PSD 10189:dBV 10184:dBW 10178:dBm 9969:hdl 9961:doi 9926:PMC 9918:doi 9121:not 9103:), 9069:ASD 8916:EEG 8896:SEF 8838:or 8235:of 7968:lim 7703:lim 7348:lim 7220:lim 6947:lim 6778:lim 6753:CSD 6585:→ ∞ 6452:or 6324:Var 5978:lim 5228:). 4973:lim 4876:lim 4863:is 3366:of 3195:lim 3049:lim 2858:lim 2607:lim 2443:ohm 2244:of 2010:lim 1414:of 1370:). 1333:of 1140:of 1133:. 992:at 963:of 490:). 455:of 431:In 241:all 110:In 78:to 10290:: 10031:. 9985:. 9977:. 9967:. 9957:11 9955:. 9934:. 9924:. 9914:42 9912:. 9908:. 9625:. 9554:^ 9160:, 9128:. 9056:, 9052:, 8994:, 8982:, 8929:A 8850:. 6294:xx 6285:xx 6188:. 5944:. 2958:is 2592:: 2487:. 2330:) 2314:0. 1967:: 1017:Hz 514:. 417:. 288:. 224:. 10155:e 10148:t 10141:v 10115:. 10096:. 10077:. 10058:. 10039:. 10012:. 9993:. 9971:: 9963:: 9942:. 9920:: 9899:. 9880:. 9861:. 9832:. 9815:. 9803:. 9790:. 9776:. 9752:. 9739:. 9640:. 9599:. 9587:. 9574:. 9521:x 9518:x 9514:R 9479:x 9476:x 9472:R 9430:) 9413:( 9390:, 9387:) 9370:( 9364:) 9358:( 9355:f 9349:2 9346:= 9340:) 9329:( 9314:x 9307:) 9301:( 9292:x 9067:( 9060:. 9032:) 9029:t 9026:( 9023:h 8971:. 8926:. 8912:x 8908:x 8900:x 8894:( 8877:. 8790:n 8782:f 8776:2 8773:i 8766:e 8762:) 8757:n 8749:( 8744:y 8741:x 8737:R 8720:= 8717:n 8709:= 8706:) 8703:f 8700:( 8695:y 8692:x 8688:S 8675:n 8673:y 8666:n 8664:x 8647:) 8644:f 8641:( 8636:x 8633:y 8629:S 8625:2 8622:= 8619:) 8616:f 8613:( 8608:y 8605:x 8601:S 8597:2 8594:= 8556:) 8553:f 8550:( 8541:y 8518:) 8515:f 8512:( 8503:x 8480:) 8477:t 8474:( 8471:y 8451:) 8448:t 8445:( 8442:x 8422:) 8419:t 8416:( 8413:y 8410:= 8407:) 8404:t 8401:( 8398:x 8378:) 8375:t 8372:( 8369:x 8349:) 8346:t 8343:( 8340:y 8320:) 8314:( 8309:x 8306:y 8302:R 8281:) 8278:t 8275:( 8272:y 8252:) 8249:t 8246:( 8243:x 8219:) 8213:( 8208:y 8205:x 8201:R 8176:, 8170:d 8162:f 8156:2 8153:i 8146:e 8142:) 8136:( 8131:x 8128:y 8124:R 8102:= 8096:d 8088:f 8082:2 8079:i 8072:e 8067:] 8063:t 8060:d 8057:) 8054:t 8051:( 8046:T 8042:x 8038:) 8029:t 8026:( 8016:T 8012:y 7988:T 7985:1 7972:T 7963:[ 7941:= 7934:) 7931:f 7928:( 7923:x 7920:y 7916:S 7905:d 7897:f 7891:2 7888:i 7881:e 7877:) 7871:( 7866:y 7863:x 7859:R 7837:= 7831:d 7823:f 7817:2 7814:i 7807:e 7802:] 7798:t 7795:d 7792:) 7789:t 7786:( 7781:T 7777:y 7773:) 7764:t 7761:( 7751:T 7747:x 7723:T 7720:1 7707:T 7698:[ 7676:= 7669:) 7666:f 7663:( 7658:y 7655:x 7651:S 7616:T 7592:) 7589:f 7586:( 7581:x 7578:y 7574:S 7570:= 7567:) 7564:f 7561:( 7551:y 7548:x 7544:S 7523:) 7520:f 7517:( 7512:y 7509:y 7505:S 7484:) 7481:f 7478:( 7473:x 7470:x 7466:S 7440:] 7436:) 7433:f 7430:( 7425:T 7415:x 7408:) 7405:f 7402:( 7392:T 7382:y 7374:[ 7368:T 7365:1 7352:T 7344:= 7337:) 7334:f 7331:( 7326:x 7323:y 7319:S 7312:] 7308:) 7305:f 7302:( 7297:T 7287:y 7280:) 7277:f 7274:( 7264:T 7254:x 7246:[ 7240:T 7237:1 7224:T 7216:= 7209:) 7206:f 7203:( 7198:y 7195:x 7191:S 7160:t 7157:d 7152:2 7147:| 7142:) 7139:t 7136:( 7131:T 7127:y 7122:| 7118:+ 7115:) 7112:t 7109:( 7104:T 7100:x 7096:) 7093:t 7090:( 7080:T 7076:y 7072:+ 7069:) 7066:t 7063:( 7058:T 7054:y 7050:) 7047:t 7044:( 7034:T 7030:x 7026:+ 7021:2 7016:| 7011:) 7008:t 7005:( 7000:T 6996:x 6991:| 6967:T 6964:1 6951:T 6943:= 6933:t 6930:d 6926:] 6922:) 6919:t 6916:( 6911:T 6907:y 6903:+ 6900:) 6897:t 6894:( 6889:T 6885:x 6880:[ 6869:] 6865:) 6862:t 6859:( 6854:T 6850:y 6846:+ 6843:) 6840:t 6837:( 6832:T 6828:x 6823:[ 6798:T 6795:1 6782:T 6774:= 6767:P 6751:( 6743:( 6727:) 6724:f 6721:( 6716:y 6713:y 6709:S 6688:) 6685:f 6682:( 6677:x 6674:x 6670:S 6649:) 6646:t 6643:( 6640:y 6620:) 6617:t 6614:( 6611:x 6587:. 6583:f 6568:. 6561:f 6557:d 6553:) 6546:f 6542:( 6537:x 6534:x 6530:S 6524:f 6519:0 6511:2 6508:= 6505:) 6502:f 6499:( 6496:F 6472:) 6469:f 6466:( 6463:F 6436:) 6433:f 6430:( 6425:x 6422:x 6418:S 6407:t 6405:( 6403:x 6387:f 6384:d 6380:) 6377:f 6374:( 6369:x 6366:x 6362:S 6339:= 6336:) 6333:x 6330:( 6321:= 6318:P 6290:t 6288:( 6281:R 6272:. 6260:) 6257:f 6254:( 6249:x 6246:x 6242:S 6238:= 6235:) 6232:f 6226:( 6221:x 6218:x 6214:S 6165:T 6141:T 6121:N 6099:2 6094:| 6088:t 6081:n 6078:f 6072:2 6069:i 6062:e 6056:n 6052:x 6046:N 6041:N 6035:= 6032:n 6023:| 6016:T 6010:2 6006:) 6002:t 5996:( 5982:N 5974:= 5971:) 5968:f 5965:( 5960:x 5957:x 5953:S 5932:t 5925:) 5922:1 5919:+ 5916:N 5913:2 5910:( 5907:= 5904:T 5884:) 5881:t 5874:n 5871:( 5868:+ 5863:0 5859:t 5855:= 5850:n 5846:t 5825:N 5819:n 5813:N 5788:n 5784:x 5756:) 5753:t 5750:( 5747:x 5722:T 5718:/ 5714:1 5694:T 5690:/ 5686:1 5666:T 5646:f 5643:d 5639:) 5636:f 5633:( 5628:x 5625:x 5621:S 5613:2 5609:f 5601:1 5597:f 5588:2 5585:= 5574:P 5553:) 5550:f 5547:( 5542:x 5539:x 5535:S 5531:= 5528:) 5525:f 5519:( 5514:x 5511:x 5507:S 5484:2 5480:f 5471:1 5467:f 5460:0 5440:] 5435:2 5431:f 5427:, 5422:1 5418:f 5414:[ 5391:) 5387:( 5370:) 5367:f 5364:( 5359:x 5356:x 5346:R 5339:= 5333:d 5324:f 5318:2 5315:i 5308:e 5304:) 5298:( 5293:x 5290:x 5286:R 5264:= 5261:) 5258:f 5255:( 5250:x 5247:x 5243:S 5212:) 5209:t 5206:( 5203:x 5178:d 5170:f 5164:2 5161:i 5154:e 5150:) 5144:( 5139:x 5136:x 5132:R 5110:= 5104:d 5093:f 5087:2 5084:i 5077:e 5072:] 5068:t 5065:d 5062:) 5059:t 5056:( 5051:T 5047:x 5043:) 5034:t 5031:( 5021:T 5017:x 4993:T 4990:1 4977:T 4968:[ 4946:= 4941:2 4936:| 4932:) 4929:f 4926:( 4921:T 4911:x 4903:| 4896:T 4893:1 4880:T 4851:) 4848:t 4845:( 4842:x 4822:) 4816:( 4811:x 4808:x 4804:R 4783:) 4780:t 4777:( 4774:x 4744:T 4724:T 4693:, 4687:d 4676:f 4670:2 4667:i 4660:e 4655:] 4651:t 4648:d 4645:) 4642:t 4639:( 4634:T 4630:x 4626:) 4617:t 4614:( 4604:T 4600:x 4577:[ 4555:= 4542:d 4534:f 4528:2 4525:i 4518:e 4513:] 4509:t 4506:d 4503:) 4500:t 4497:( 4492:T 4488:x 4484:) 4481:t 4472:( 4469:u 4447:[ 4425:= 4414:} 4410:) 4407:t 4404:( 4399:T 4395:x 4384:) 4381:t 4378:( 4375:u 4371:{ 4365:F 4360:= 4349:} 4345:) 4342:t 4339:( 4334:T 4330:x 4325:{ 4319:F 4310:} 4306:) 4303:t 4300:( 4297:u 4293:{ 4287:F 4282:= 4271:} 4267:) 4264:t 4261:( 4256:T 4252:x 4247:{ 4241:F 4232:} 4228:) 4225:t 4219:( 4209:T 4205:x 4200:{ 4194:F 4189:= 4179:) 4176:f 4173:( 4168:T 4158:x 4142:] 4138:) 4135:f 4132:( 4127:T 4117:x 4110:[ 4107:= 4098:2 4093:| 4089:) 4086:f 4083:( 4078:T 4068:x 4060:| 4034:) 4031:t 4025:( 4015:T 4011:x 4007:= 4004:) 4001:t 3998:( 3995:u 3964:] 3960:) 3957:f 3954:( 3949:T 3939:x 3931:[ 3926:= 3909:] 3904:} 3900:) 3897:t 3894:( 3889:T 3885:x 3880:{ 3874:F 3868:[ 3863:= 3846:] 3842:t 3839:d 3834:t 3831:f 3825:2 3822:i 3815:e 3811:) 3808:t 3805:( 3800:T 3796:x 3773:[ 3768:= 3758:t 3755:d 3746:] 3740:t 3737:f 3731:2 3728:i 3721:e 3717:[ 3714:) 3711:t 3708:( 3698:T 3694:x 3672:= 3662:t 3659:d 3654:t 3651:f 3645:2 3642:i 3638:e 3634:) 3631:t 3628:( 3618:T 3614:x 3592:= 3582:t 3579:d 3574:t 3571:f 3565:2 3562:i 3555:e 3551:) 3548:t 3542:( 3532:T 3528:x 3506:= 3498:} 3494:) 3491:t 3485:( 3475:T 3471:x 3466:{ 3460:F 3434:) 3431:t 3428:( 3423:T 3419:x 3398:) 3395:t 3389:( 3379:T 3375:x 3344:2 3339:| 3334:) 3331:f 3328:( 3323:T 3313:x 3305:| 3284:) 3280:( 3260:2 3255:| 3250:) 3247:f 3244:( 3239:T 3229:x 3221:| 3215:T 3212:1 3199:T 3191:= 3188:) 3185:f 3182:( 3177:x 3174:x 3170:S 3141:f 3138:d 3132:2 3127:| 3122:) 3119:f 3116:( 3111:T 3101:x 3093:| 3069:T 3066:1 3053:T 3045:= 3042:P 3018:) 3015:f 3012:( 3003:x 2980:) 2977:t 2974:( 2971:x 2944:. 2941:t 2938:d 2932:2 2927:| 2923:) 2920:t 2917:( 2912:T 2908:x 2903:| 2878:T 2875:1 2862:T 2854:= 2851:P 2831:) 2828:t 2825:( 2820:T 2816:w 2795:) 2792:t 2789:( 2784:T 2780:w 2776:) 2773:t 2770:( 2767:x 2764:= 2761:) 2758:t 2755:( 2750:T 2746:x 2722:t 2719:d 2713:2 2708:| 2704:) 2701:t 2698:( 2695:x 2691:| 2684:2 2680:/ 2676:T 2673:+ 2668:0 2664:t 2658:2 2654:/ 2650:T 2642:0 2638:t 2627:T 2624:1 2611:T 2603:= 2600:P 2578:0 2574:t 2570:= 2567:t 2547:T 2527:) 2524:t 2521:( 2518:x 2498:P 2472:) 2469:t 2466:( 2461:2 2457:x 2429:) 2426:t 2423:( 2420:x 2392:) 2389:t 2386:( 2383:x 2342:. 2308:t 2285:t 2262:. 2257:n 2253:x 2228:) 2225:f 2222:( 2217:d 2207:x 2183:, 2176:2 2171:| 2167:) 2164:f 2161:( 2156:d 2146:x 2138:| 2125:2 2120:| 2114:t 2107:n 2104:f 2098:2 2095:i 2088:e 2082:n 2078:x 2072:N 2067:N 2061:= 2058:n 2049:| 2039:2 2035:) 2031:t 2025:( 2014:N 2006:= 2003:) 2000:f 1997:( 1992:x 1989:x 1979:S 1955:) 1952:t 1945:n 1942:( 1939:+ 1934:0 1930:t 1926:= 1921:n 1917:t 1894:n 1890:x 1862:Z 1842:f 1835:/ 1831:) 1828:f 1825:( 1822:E 1812:J 1798:) 1795:f 1792:( 1789:E 1769:Z 1765:/ 1759:2 1755:) 1751:t 1748:( 1745:V 1725:f 1718:/ 1714:) 1711:f 1708:( 1705:E 1685:f 1665:) 1662:f 1659:( 1656:E 1636:f 1609:f 1589:) 1586:f 1583:( 1578:x 1575:x 1565:S 1541:Z 1537:/ 1531:2 1527:) 1523:t 1520:( 1517:V 1497:Z 1493:/ 1487:2 1483:) 1479:t 1476:( 1473:V 1453:t 1425:Z 1390:) 1387:t 1384:( 1381:V 1350:) 1347:t 1344:( 1341:x 1317:) 1314:f 1311:( 1306:x 1303:x 1293:S 1273:) 1269:( 1250:2 1245:| 1241:) 1238:f 1235:( 1226:x 1219:| 1211:) 1208:f 1205:( 1200:x 1197:x 1187:S 1157:) 1154:t 1151:( 1148:x 1121:f 1118:d 1115:+ 1112:f 1092:f 1068:f 1065:d 1060:2 1055:| 1051:) 1048:f 1045:( 1036:x 1029:| 1003:f 980:) 977:t 974:( 971:x 947:t 944:d 938:) 935:t 932:( 929:x 924:t 921:f 915:2 912:i 905:e 880:) 877:f 874:( 865:x 842:, 839:f 836:d 830:2 825:| 821:) 818:f 815:( 806:x 799:| 776:= 773:t 770:d 764:2 759:| 754:) 751:t 748:( 745:x 741:| 696:. 693:t 690:d 682:2 677:| 673:) 670:t 667:( 664:x 660:| 634:E 614:) 611:t 608:( 605:x 585:E 562:. 523:t 521:( 519:x 508:g 500:g 369:) 366:t 363:( 360:E 328:x 308:) 305:t 302:( 299:x 272:) 269:t 266:( 261:2 257:x 200:f 176:) 173:t 170:( 167:x 141:) 138:f 135:( 130:x 127:x 123:S 101:) 95:( 90:) 86:( 72:. 32:. 23:.

Index

Spectrum (physical sciences)
Spectral power

fluorescent light

help improve it
make it understandable to non-experts
Learn how and when to remove this message
signal processing
continuous time
signal
power
Fourier analysis
noise
spectrum
Summation
Parseval's theorem
pitch
timbre
color
Fourier transform
dispersive prism
spectrograph
statistical signal processing
stochastic processes
physics
engineering
spatial frequency
Fourier transform § Units
physics

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