A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence

T. Mei, Dalian University of Technology, China
F. Yin, Dalian University of Technology, China
J. Xi, University of Wollongong
A. Mertins, University of Wollongong
J. F. Chicharo, University of Wollongong

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This paper originally appeared as: Mei, T, Yin, F, Xi, J et al, A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 28-31 August 2005, vol 1, 25-28. Copyright IEEE 2005.

Abstract

This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency domain integration and time domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real world recorded convolutive mixtures.