Infomax and maximum likelihood for blind source separation
J.-F. Cardoso · IEEE Signal Processing Letters · 1997
Algorithms for the blind separation of sources can be derived from several different principles. This article shows that the infomax (information-maximization) principle is equivalent to the maximum likelihood. The application of the infomax principle to source separation consists of maximizing an output entropy.