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. © 2006 IEEE.
An IIR architecture for BSS in strong nonlinear convolutive environments / D., VIGLIANO; PARISI, Raffaele; UNCINI, Aurelio. - (2006), pp. 4563-4566. (Intervento presentato al convegno ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems tenutosi a Kos; Greece nel 21-24 maggio 2006).
An IIR architecture for BSS in strong nonlinear convolutive environments
PARISI, Raffaele;UNCINI, Aurelio
2006
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. © 2006 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
