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/
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 filtered versions of the source signals. Some numerical simulations using artificially mixed signals as well as biological data (RR and QT intervals of Electrocardiogram) are presented.
|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
|Refereed:||Yes, this version has been refereed|
|Created at the University of Regensburg:||Yes|
|Deposited On:||20 Mar 2007|
|Last Modified:||30 Sep 2010 09:27|