On wavelet-based convolutive blind separation of non-stationary sound sources

This paper considers the blind separation of the signals (BSS) including reflections such as sound. The BSS for the simultaneous mixture case is achieved by maximizing the mutual information between input and output signals or by zeroing the cross-correlations of the separated signals. For making these methods applicable to the convolutive mixture case, it is important to transform signals in the time domain into those in the time-frequency domain by the wavelet transform.