A Classical Adaptive Filtering Blind Signal Separation

Abstract

A classical adaptive filtering view of the problem of instantaneous blind signal separation is presented. This classical form enables an easy understanding of the natural gradient algorithm. A new RLS-based algorithm is developed using this classical interpretation. The algorithm provides improved on-line separation speed under the same steady state error compared to the natural gradient algorithm without requiring pre-whitening