Startseite UB

Blind source separation and sparse component analysis of overcomplete mixtures

Georgiev, P. and Theis, Fabian J. and Cichocki, A. (2004) Blind source separation and sparse component analysis of overcomplete mixtures. In: Proceedings / 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, May 17 - 21, 2004, Montreal, Quebec, Canada. IEEE Operations Center, Piscataway, NJ, pp. 493-496. ISBN 0-7803-8484-9.

Full text not available from this repository.

at publisher (via DOI)

Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/georgiev04SCA_ICASSP04.pdf


Abstract

We formulate conditions (k-SCA-conditions) under which we can represent a given (m x N)-matrix X (data set) uniquely (up to scaling and permutation) as a multiplication of (m x n) and (n x N) matrices A and S (often called mixing matrix or dictionary and source matrix, respectively), such that S is sparse of level n-m+k in sense that each column of S has at least n-m+k zero elements. We call this ...

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
10.1109/ICASSP.2004.1327155DOI
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:12 Oct 2010 07:19
Item ID:1593
Owner Only: item control page
  1. University

University Library

Publication Server

Contact person
Gernot Deinzer

Telefon 0941 943-2759
Contact