Georgiev, P. and Theis, F.
(2004)
*Blind source separation of linear mixtures with singular matrices.*
In: Puntonet, Carlos G., (ed.)
Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings.
Lecture Notes in Computer Science, 3195.
Springer, Berlin, pp. 121-128.

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Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/georgiev04singularICA_ICA04.pdf

## Abstract

We consider the Blind Source Separation problem of linear mixtures with singular matrices and show that it can be solved if the sources are sufficiently sparse. More generally, we consider the problem of identifying the source matrix S if a linear mixture X = AS is known only, where A is an (m x n)-matrix, m$\lt$=n and the rank of A is less than m. A sufficient condition for solving this problem ...

## Export bibliographical data

Item type: | Book section | ||||
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Date: | 2004 | ||||

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 | ||||

Identification Number: |
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Dewey Decimal Classification: | 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 | ||||

Item ID: | 1594 |