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New Geometric ICA Approach for Blind Source Separation

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


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.

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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
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:1575
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