noob question.
An initial process has an unknown pdf, P(X), which is then subjected to additive Gaussian noise. Repeated sampling of the sum is performed so that
$y=x+noise$
is repeatedly measured and the pdf for y is determined, P(Y). Is there anything that can be said analytically about P(X)?
I'd appreciate any simple references.
Thank you