Separating Colored Signals Distorted by Convolutive Channels Using Diagonal Constrained Decorrelation

  • Yong Xiang ,
  • Yingbo Hua ,
  • Senjian An ,
  • Alex Acero

Proceedings of the International Conference on Acoustics, Speech, and Signal Processing |

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.