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| Title | An RLS-Iterative Inversion Approach for Blind Signal Separation |
| Publication Type | Conference Paper |
| Year of Publication | 2006 |
| Authors | Elsabrouty, M., M. Bouchard, and T. Aboulnasr |
| Conference Name | Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on |
| Pagination | 975 -978 |
| Date Published | dec. |
| Keywords | blind 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 |
| Abstract | 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 |
| URL | http://dx.doi.org/10.1109/ISPACS.2006.364802 |
| DOI | 10.1109/ISPACS.2006.364802 |