Hi-index | 0.00 |
We consider the problem of convolutive blind signal separation through the optimization of contrast functions. We show that some links between contrasts and joint diagonalization criteria can be exhibited in the convolutive case. This allows us to devise a constructive algorithm performing MIMO blind equalization, with the help of a joint approximate diagonalization of a set of matrices built from the observations. This analytical algorithm can be run block-wise, which is appropriate in the context of short burst communications.