A wavelet thresholding approach for signal decorrelation in the stereophonic acoustic echo cancellation application

Stereophonic acoustic echo cancellers (SAEC) have extended application in stereo teleconferencing systems. They have problems more severe than monophonic echo cancellers. The most important problem is the misalignment. This problem causes a severe divergence of filters in the event of abrupt changes of the transmission room acoustic paths. In this paper, we propose a novel wavelet thresholding approach for reducing the cross-correlation of the input vectors in the wavelet domain that leads to an improvement in the rate of misalignment reduction in adaptive filters employed in the stereophonic acoustic echo cancellation.