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Blind source recovery: algorithm comparison and fusion

Theis, Fabian J. and Georgiev, P. and Cichocki, A. (2004) Blind source recovery: algorithm comparison and fusion. In: Proceedings: Bayesian inference and maximum entropy methods in science and engineering (MaxEnt): 24th internat. workshop, Garching, Germany, 25 - 30 July 2004. AIP conference proceedings, 735. American Institute of Physics, Garching, Germany, pp. 320-327. ISBN 0-7354-0217-5 .

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Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/theis04BSR_MaxEnt2004.pdf


Abstract

We study different solutions of the so-called blind source recovery (BSR) problem: Given an m-dimensional mixture random process x(t) and an m£n mixing matrix A, solve the underdetermined equation x(t) = As(t)+e(t) with the unknown n-dimensional source process s(t) and noise e(t). For simplicity, we will assume that the processes are i.i.d. Moreover, s(t) has to satisfy additional assumptions ...

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Export bibliographical data

Item Type:Book Section
Date:2004
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis
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:14 Oct 2010 13:37
Item ID:1591
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