Contrastes pour la séparation aveugle de sources

A general method to construct contrast functions for separating instantaneous mixtures of sources is introduced. It is based on a super-additive functional of class II applied to the distributions of the reconstructed sources. Examples of such functionals are given. Our approach permits exploiting the temporal dependence of the sources by using a functional on the joint distribution of the source process over a time interval. This yields many new examples and frees us from the constraint that the sources be non Gaussian. The case of contrasts functions based on cumulants requiring the orthogonality constraint is also considered.

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