If I have a stochastic process, which is normally distributed then expectation is:
$$ E[g(x,t)] = \int_{-\infty}^{\infty} g(x,t) p(x) dx $$
where $p(x)$ is the Gaussian probability density function. I'd like to take the Fourier transform wrt $x$ but I'm not sure how this will work.