Startseite UB

Second-order blind source separation based on multi-dimensional autocovariances

Theis, Fabian J. and Meyer-Bäse, A. and Lang, Elmar (2004) Second-order blind source separation based on multi-dimensional autocovariances. 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. 726-733. ISBN 3-540-23056-4, 978-3-540-23056-4.

Full text not available from this repository.

at publisher (via DOI)


Abstract

SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust than previous time decorrelation algorithms such as AMUSE. We propose an extensioncalled mdSOBI by using multidimensional autocovariances, which can be calculated for data sets with multidimensional parameterizations ...

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
Identification Number:
ValueType
10.1007/978-3-540-30110-3_92DOI
Related URLs:
URLURL Type
http://www.springerlink.com/content/00b0nwtbpg4ak9aw/Publisher
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:INVALID USER
Deposited On:20 Mar 2007
Last Modified:30 Sep 2010 10:20
Item ID:1609
Owner Only: item control page
  1. University

University Library

Publication Server

Contact person
Gernot Deinzer

Telefon 0941 943-2759
Contact