Common
Wiener–Khinchin theorem
Theorem relating stationary processes' autocorrelations and power spectra
Wiener–Khinchin theorem
In applied mathematics and statistics, the Wiener–Khinchin theorem or Wiener–Khintchine theorem, also known as the Wiener–Khinchin–Einstein theorem or the Khinchin–Kolmogorov theorem, states that the power spectral density of a wide-sense-stationary random process is equal to the Fourier transform of that process's autocorrelation function.
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