Blind Source Separation Algorithms with Matrix Constraints

Andrzej CICHOCKI  Pando GEORGIEV  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E86-A   No.3   pp.522-531
Publication Date: 2003/03/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: INVITED PAPER (Special Section on Blind Signal Processing: Independent Component Analysis and Signal Separation)
Category: Constant Systems
Keyword: 
blind sources separation,  independent component analysis with matrix constraints,  non-negative blind source separation,  

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Summary: 
In many applications of Independent Component Analysis (ICA) and Blind Source Separation (BSS) estimated sources signals and the mixing or separating matrices have some special structure or some constraints are imposed for the matrices such as symmetries, orthogonality, non-negativity, sparseness and specified invariant norm of the separating matrix. In this paper we present several algorithms and overview some known transformations which allows us to preserve several important constraints.