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Blind source separation using time-delayed signals

Tomé, A., Teixeira, A., Lang, Elmar, 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/


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
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:BMBF Projekt ModKog
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:1643
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