For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Blind Source Separation Algorithms with Matrix Constraints
Andrzej CICHOCKI Pando GEORGIEV
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2003/03/01
Print ISSN: 0916-8508
Type of Manuscript: INVITED PAPER (Special Section on Blind Signal Processing: Independent Component Analysis and Signal Separation)
Category: Constant Systems
blind sources separation, independent component analysis with matrix constraints, non-negative blind source separation,
Full Text: PDF(1.2MB)
>>Buy this Article
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.