Does the mixed signals distribution affect the ICA performance? I mean the ability of ICA to get the sources.
Assume that the mixed signals follows a Gaussian distribution and of course the sources do not follow Gaussian distributions. Then, this implies that we have large independent components or sources, so will the ICA be able to get all of that components?
On the other hand, if the mixed signals follows a Poisson distribution, should that mean something regarding the ICA method? I mean should we expect that the ICA will not be able to extract the sources of that signals in an efficient way?