Separating Colored Signals Distorted by Convolutive Channels Using Diagonal Constrained Decorrelation

Y. Xiang, Y. Hua, S. An, and Alex Acero

Abstract

We consider the problem of separating colorred signals mixed by

unknown convolutive channels. We introduce a variation of a previous

approach of separating signals via decorrelation. This variation

minimizes the mutual correlation among the output signals of

a decorrelation matrix subject to a diagonal constraint. The diagonal

constraint ensures a better quality of separation. The diagonal

constraint is shown to be essential when the number of original

signals is less than the number of distorted signals.

Details

Publication typeInproceedings
Published inProc. of the Int. Conf. on Acoustics, Speech, and Signal Processing
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