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

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.