An RLS-Iterative Inversion Approach for Blind Signal Separation

TitleAn RLS-Iterative Inversion Approach for Blind Signal Separation
Publication TypeConference Paper
Year of Publication2006
AuthorsElsabrouty, M., M. Bouchard, and T. Aboulnasr
Conference NameIntelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Pagination975 -978
Date Publisheddec.
Keywordsblind signal separation, blind source separation, convergence speed, iterative methods, least squares approximations, matrix inversion, mixing matrix inversion, natural gradient algorithm, recursive estimation, RLS-iterative inversion approach, steady state error

A new algorithm for blind signal separation that does not require pre-whitening is proposed in this paper. The algorithm is based on an iterative inversion of the mixing matrix. The algorithm is capable of working on-line and provides improved convergence speed and steady state error compared to the popular natural gradient algorithm, with a low additional computational cost


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2021 The University of British Columbia