A Classical Adaptive Filtering Blind Signal Separation

TitleA Classical Adaptive Filtering Blind Signal Separation
Publication TypeConference Paper
Year of Publication2006
AuthorsElsabrouty, M., M. Bouchard, and T. Aboulnasr
Conference NameSystem-on-Chip for Real-Time Applications, The 6th International Workshop on
Pagination24 -27
Date Publisheddec.
Keywordsadaptive filters, blind signal separation, blind source separation, classical adaptive filtering, gradient methods, least squares approximations, natural gradient algorithm, on-line separation, RLS-based algorithm, steady state error

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


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