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Approximate Diagonalization Approach to Blind Source Separation with a Subset of Matrices

Tomé, A. M. and Lang, Elmar (2003) Approximate Diagonalization Approach to Blind Source Separation with a Subset of Matrices. In: Proceedings / Seventh International Symposium on Signal Processing and its Applications (ISSPA): July 1 - 4, 2003, Paris, France. Vol. 2. IEEE Operations Center, Piscataway, NJ, pp. 105-109. ISBN 0-7803-7946-2 .

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Abstract

In Blind Source Separation problems it is assumed that the approximate diagonalization of a matrix set achieves more robust solutions than the simultaneous diagonalization of a matrix pencil. In this work we will analyse approximate diagonalization methods using a generalized eigendecomposition (GED) of any pair of a given matrix set. The constraints of GED solutions provide a criterion to ...

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Item Type:Book Section
Date:2003
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Identification Number:
ValueType
10.1109/ISSPA.2003.1224826 DOI
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 09:44
Item ID:1647
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