Fourier Transform of a continous time truncated Random Process

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I was reading about PSD from:

http://www.comm.toronto.edu/frank/notes/wk.pdf

It goes to "prove" the Wiener-Khinchin theorem but it's not clear to me how you can take the Fourier Transform of a continuous time random process. A specific realization of the random process may not be integrable(as far as I know),

Could someone explain what's going on?