I am currently working on understanding how visually and intuitively the power spectral density is the fourier transform of the autocorrelation of a signal. I was wondering if anyone had a good explanation that would make sense to someone not directly in the field of signal processing but is now encountering it as a field I have to mesh in for a problem I'm encountering in my field.
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It's simply defined like that; that definition can be useful. Your question has been asked on here, before, for example: – Marcus Müller Nov 06 '19 at 15:38
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2Possible duplicate of Why do we need the power spectral density? – Marcus Müller Nov 06 '19 at 15:38
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https://dsp.stackexchange.com/questions/10148/power-spectral-density-vs-energy-spectral-density, https://dsp.stackexchange.com/questions/47740/why-look-at-power-spectral-density-for-stochastic-processes, and a lot of things about the Wiener Khinchin Theorem (e.g.) – Marcus Müller Nov 06 '19 at 15:38