The Wiener-Khinchin theorem relates the autocorrelation of a function to the absolute
square of its Fourier transform. Recall
the definition of the autocorrelation function
of a function
,
|
(1)
|
Let
denote the Fourier transform of
. The inverse Fourier
transform gives
|
(2)
|
giving a complex conjugate of
|
(3)
|
Plugging
and
into the autocorrelation function therefore gives
|
(4)
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|
(5)
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(6)
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(7)
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|
(8)
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|
(9)
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where the integral over giving the delta function
is interpreted as a distribution. Thus the
autocorrelation is the inverse
Fourier transform of the absolute square of
.
The Wiener-Khinchin theorem is a special case of the cross-correlation theorem with .