Startseite UB

Blind source separation of linear mixtures with singular matrices

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.

Full text not available from this repository.

at publisher (via DOI)

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 ...

plus


Export bibliographical data



Item Type:Book Section
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:
ValueType
10.1007/978-3-540-30110-3_16DOI
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:29 Sep 2010 09:28
Item ID:1594
Owner Only: item control page
  1. University

University Library

Publication Server

Contact person
Gernot Deinzer

Telefon 0941 943-2759
Contact