The Wiener-Khinchin Theorem states that the power spectral density of a stationary random process is the Fourier transform of its autocorrelation function. This theorem establishes a fundamental connection between time-domain and frequency-domain representations of signals, making it essential in fields like signal processing and probability theory.
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