Identification of mixing matrix in blind source separation

Authors:
Xiaolu Li;Zhaoshui He
Affiliations:
School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China;School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

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Abstract

Blind identification of mixing matrix approach and the corresponding algorithm are proposed in this paper. Usually, many conventional Blind Source Separation (BSS) methods separate the source signals by estimating separated matrix. Different from this way, we present a new BSS approach in this paper, which achieves BSS by directly identifying the mixing matrix, especially for underdetermined case. Some experiments are conducted to check the validity of the theory and availability of the algorithm in this paper.