A new convolutive blind signal separation algorithm based on second order statistics using a simplified mixing model

In this paper a new convolutive blind signal separation algorithm is proposed, which is based on a simplified mixing model and second order statistics. The simplified mixing model uses the fact that the acoustic transfer functions from a source to two closely spaced microphones are very similar. Only one difference between these two functions is needed. The algorithm is efficiently realized in frequency domain and its effectiveness is shown by the experimental results.