Adaptive blind separation of convolved sources based on minimisation of the generalised instantaneous energy (CROSBI ID 476694)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kopriva, Ivica ;
engleski
Adaptive blind separation of convolved sources based on minimisation of the generalised instantaneous energy
Generalization of the energy concept is proposed resulting in a class of novel on-line algorithms for blind separation of convolved signals. Signal separation is achieved when signal energy of the appropriate order is minimal. The resulting learning rules have the similar form as those recently discussed to be optimal for blind separation of instantaneously mixed signals. Algorithms are tested on the separation of two real-world signals. It is believed that for the first time the blind signal separation (BSS) theory is applied to the light sources localization problem. With proposed algortihms better separation quality is obtained than when using adaptive decorrelation, recently proposed separation algorithm based on entropy maximization and neural network separator based on nonlinear odd activation functions.
Blind Signal Separation; Adaptive Signal Processing; Unsupervised Neural Networks;
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Podaci o prilogu
Vol. II, 761-764-x.
1998.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of Eusipco-98; Ninth European Signal Processing Conference
Theodoridies, S ; Pitas, A ; Stouraitis, N ; Kalouptsidis, N ;
Atena: Typorama Editions, 1998
Podaci o skupu
Signal Processing IX - Theories and Applications
poster
08.09.1998-11.09.1998
Rodos, Grčka