Rodriguez-Alvarez, M., Rojas, F., Puntonet, Carlos G., Theis, Fabian J., Lang, Elmar and Clemente, R. (2003) New Geometric ICA Approach for Blind Source Separation. In: Intelligent systems design and applications, ISDA 2003, Tulsa, Okla., 2003.08.10-13. Advances in soft computing. Springer, Berlin, pp. 293-302. ISBN 3-540-40426-0.
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Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/rodriguez03latticeICA_ISDA03.pdf
Abstract
This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. In this work, the principles of the new method and a description of the algorithm are shown.
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 |
| 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: | 1575 |
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