The Wiener-Khinchin Theorem states that the power spectral density of a wide-sense stationary random process is the Fourier transform of its autocorrelation function. This theorem connects the time-domain characteristics of a random process, through its autocorrelation, to its frequency-domain representation, allowing for a better understanding of how energy is distributed over different frequencies.
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