Improved contrast dedicated to blind separation in communications

Contrast-based separation of sources have a number of advantages. Among others, they are optimal (in a precise sense) in the presence of noise of unknown statistics. Here a new contrast is proposed that allows not only to obtain the optimal solution analytically, but also yields better performances in terms of variance of the estimated mixing matrix. This contrast needs the source kurtosis to have the same sign, and is thus appropriate to multichannel blind equalization in communications.

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