Blind separation of convolutive mixtures of non-stationary sources using joint block diagonalization in the frequency domain

Authors:
Hicham Saylani;Shahram Hosseini;Yannick Deville
Affiliations:
Laboratoire des Systèmes de Télécommunications et Ingénierie de la Décision, Faculté des Sciences, Université Ibn Tofaïl, Kénitra, Maroc;Laboratoire d'Astrophysique de Toulouse-Tarbes, Université de Toulouse, CNRS, Toulouse, France;Laboratoire d'Astrophysique de Toulouse-Tarbes, Université de Toulouse, CNRS, Toulouse, France
Venue:
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Year:
2010

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Abstract

We recently proposed a new method based on spectral decorrelation for blindly separating linear instantaneous mixtures of nonstationary sources. In this paper, we propose a generalization of this method to FIR convolutive mixtures using a second-order approach based on block-diagonalization of covariance matrices in the frequency domain. Contrary to similar time or time-frequency domain methods, our approach requires neither the piecewise stationarity of the sources nor their sparseness. The simulation results show the better performance of our approach compared to these methods.