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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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Other URL: http://www-l2ti.univ-paris13.fr/~isspa2003/


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
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
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Dewey Decimal Classification:500 Science > 530 Physics
500 Science > 570 Life sciences
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:1647
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