Stochastic gradient adaptive algorithms for blind source separation

The aim in blind source separation is to separate linear mixtures of statistically independent non-Gaussian signals without resorting to an a priori knowledge of the sources or the mixing system. In this paper we propose a new family of adaptive algorithms that recursively compute the optimum separa...

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Bibliographic Details
Published in:	Signal processing Vol. 75; no. 1; pp. 11 - 27
Main Authors:	Dapena, Adriana, Castedo, Luis
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.01.1999 Elsevier Science
Subjects:	Adaptive algorithms Applied sciences Blind source separation Exact sciences and technology Higher-order statistics Information, signal and communications theory Signal and communications theory Signal, noise Telecommunications and information theory Adaptive algorithms Blind source separation Higher-order statistics Signal mixing Stability Separation Adaptive algorithm Gaussian noise Computer simulation Signal processing Cost function Image restoration Modeling Signal to noise ratio
ISSN:	0165-1684, 1872-7557
Online Access:	Get full text
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