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New Geometric ICA Approach for Blind Source Separation

Rodriguez-Alvarez, M. and Rojas, F. and Puntonet, Carlos G. and Theis, Fabian J. and 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 ...

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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
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:19 Oct 2010 06:25
Item ID:1575
Owner Only: item control page
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