Minimum entropy algorithms for source separation
Hsiao-Chun Wu, José Carlos Príncipe · 2002
The minimum entropy or maximum likelihood estimation can be utilized in blind source separation problem. Based on the local generalized Gaussian probability density model, a set of general anti-Hebbian rules can be derived. This set of adaptation rules give promising results when we test the real recordings.