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/
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 ...
Export bibliographical data
| 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: |
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| Dewey Decimal Classification: | 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 | ||||
| Item ID: | 1647 |
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