A new on-line negentropy-based algorithm for blind source separation

TitleA new on-line negentropy-based algorithm for blind source separation
Publication TypeConference Paper
Year of Publication2003
AuthorsElsabrouty, M., M. Bouchard, and T. Aboulnasr
Conference NameMicro-NanoMechatronics and Human Science, 2003 IEEE International Symposium on
Pagination756 - 759 Vol. 2
Date Publisheddec.
Keywordsbatch mode algorithm, blind signal separation, blind source separation, cost function, Entropy, Fast-IC algorithm, independent component analysis, on-line algorithm, on-line negentropy, online operation

Negentropy is one of the principal techniques for independent component analysis. It serves as a multi-purpose tool for both blind signal separation (BSS) and blind signal extraction (BSE). However, the main and most widely used algorithm based on negentropy, namely Fast-IC works in batch mode. A fast on-line operation with a fast convergence rate is very useful in tracking non-stationary sources. In this paper, we modify the cost function of negentropy to produce an improved on-line algorithm. Simulation results of the proposed algorithm prove its good performance and remarkable convergence rate.


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