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Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures

Georgiev, P. and Theis, Fabian J. and Cichocki, A. (2005) Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures. IEEE Transactions on Neural Networks 16 (4), pp. 992-996.

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Abstract

We solve the problem of identifying matrices S and A knowing only their multiplication X = AS, under some conditions, expressed either in terms of A and sparsity of S (identifiability conditions), or in terms of X (Sparse Component Analysis conditions). We present algorithms for such identification and illustrate them by ...

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Item Type:Article
Date:2005
Additional information (public):Lang als Autor nicht genannt /Okt.. 2010 kel
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Subjects:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Redakteur Physik
Deposited On:20 Mar 2007
Last Modified:01 Oct 2010 09:23
Item ID:1611
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