Multichannel deconvolution and equalization is an important task for numerous applications in communications, signal processing, and control. In this paper, we extend the efficient natural gradient search method in  to derive a set of on-line algorithms for combined multichannel blind source separation and time-domain deconvolution/equalization of additive, convolved signal mixtures. We prove that the doubly-infinite multichannel equalizer based on the maximum entropy cost function with natural gradient possesses the so-called `equivariance property' such that its asymptotic performance depends on the normalized stochastic distribution of the source signals and not on the characteristics of the unknown channel. Simulations indicate the ability of the algorithm to perform efficient simultaneous multichannel signal deconvolution and source separation.
|Number of pages||4|
|Publication status||Published - 1997|
|Event||Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 - Paris, Fr|
Duration: 16 Apr 1997 → 18 Apr 1997
|Conference||Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97|
|Period||16/04/97 → 18/04/97|