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Identification of Mixing Matrix in Blind Source Separation.

Authors :
Wang, Jun
Yi, Zhang
Zurada, Jacek M.
Lu, Bao-Liang
Yin, Hujun
Li, Xiaolu
He, Zhaoshui
Source :
Advances in Neural Networks - ISNN 2006; 2006, p1171-1176, 6p
Publication Year :
2006

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540344391
Database :
Supplemental Index
Journal :
Advances in Neural Networks - ISNN 2006
Publication Type :
Book
Accession number :
32883788
Full Text :
https://doi.org/10.1007/11759966_173