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A new concept for separability problems in blind source separation

Theis, Fabian J. (2004) A new concept for separability problems in blind source separation. Neural Computation 16, pp. 1827-1850.

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Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/theis04linearUniqueness_NC.pdf


Abstract

The goal of blind source separation (BSS) lies in recovering the original independent sources of a mixed random vector without knowing the mixing structure. A key ingredient to successfully perform BSS is to know the indeterminacies of the problem that is to know how the separating model relates to the original mixing model (separability). For linear BSS Comon showed using the Darmois-Skitovitch ...

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Item Type:Article
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
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:15 Oct 2010 09:14
Item ID:1586
Owner Only: item control page
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