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Overcomplete ICA with a Geometric Algorithm

Theis, Fabian J. and Lang, Elmar and Westenhuber, Tobias and Puntonet, Carlos G. (2002) Overcomplete ICA with a Geometric Algorithm. In: Dorronsoro , José R., (ed.) Lecture Notes in Computer Science. Springer, Berlin, pp. 1049-1054. ISBN 3-540-44074-7.

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Abstract

We present an independent component analysis (ICA) algorithm based on geometric considerations [10] [11] to decompose a linear mixture of more sources than sensor signals. Bofill and Zibulevsky [2] recently proposed a two-step approach for the separation: first learn the mixing matrix, then recover the sources using a maximum-likelihood approach. We present an efficient method for the ...

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Item Type:Book Section
Date:2002
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Identification Number:
ValueType
10.1007/3-540-46084-5_170DOI
Related URLs:
URLURL Type
http://www.springerlink.com/content/12f7ut0quvv9u42u/Publisher
Subjects:500 Science > 530 Physics
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:28 Sep 2010 09:41
Item ID:1560
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