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Blind source separation using time-delayed signals

Tomé, A. and Teixeira, A. and Lang, Elmar and Stadlthanner, K. and Almeida, R. (2004) Blind source separation using time-delayed signals. Proc. International Joint Conference on Neural Networks (IJCNN) CD.

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Other URL: http://www.conferences.hu/budapest2004/


Abstract

In this work a modified version of AMUSE, called dAMUSE, is proposed. The main modification consists in increasing the dimension of the data vectors by joining delayed versions of the observed mixed signals. With the new data a matrix pencil is computed and its generalized eigendecomposition is performed as in AMUSE. We will show that in this case the output (or independent) signals are ...

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Item Type:Article
Date:2004
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:BMBF Projekt ModKog
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:30 Sep 2010 09:27
Item ID:1643
Owner Only: item control page
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