Naslov
Adaptive blind separation of convolved sources based on minimisation of the generalised instantaneous energy

Autori
Kopriva, Ivica ;

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of Eusipco-98; Ninth European Signal Processing Conference / Theodoridies, S ; Pitas, A ; Stouraitis, N ; Kalouptsidis, N ; - Atena : Typorama Editions, 1998, 1998, Vol. II, 761-764

Skup
Signal Processing IX - Theories and Applications

Mjesto i datum
Rodos, Grčka, 08.09.1998. - 11.09.1998

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Blind Signal Separation; Adaptive Signal Processing; Unsupervised Neural Networks;

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA