Title :
An IIR architecture for BSS in strong nonlinear convolutive environments
Author :
Vigliano, Daniele ; Parisi, Raffaele ; Uncini, Aurelio
Author_Institution :
Dept. of INFOCOM, Universita degli Studi di Roma, Rome
Abstract :
This paper introduces an IIR flexible ICA approach to the problem of blind source separation in convolutive nonlinear environments. The proposed algorithm performs separation in the presence of convolutive mixing of post nonlinear convolutive mixtures (CPNL-C), it is based on redundancy reduction and realizes source separation by minimizing the output mutual information. Experimental results are described to show the effectiveness of the described technique
Keywords :
IIR filters; blind source separation; independent component analysis; BSS; CPNL-C; ICA; IIR architecture; blind source separation; convolutive mixing; nonlinear convolutive environments; nonlinear convolutive mixtures; Blind source separation; Delay lines; Finite impulse response filter; Independent component analysis; Jacobian matrices; Mirrors; Mutual information; Nonlinear distortion; Signal resolution; Source separation;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693645
