On Optimal Source Separation Based on Second and Fourth Order Cumulants
نویسنده
چکیده
This paper 1 addresses performance issues in the source separation problem. By drawing on the theory of optimal statistic matching, we derive new contrast functions which are optimal among those involving a given set of cumulants. In low noise, the optimal combination of a particular set of cumulants are shown to be parameter independent and can be pre-computed. We give speciic exemples in close form for several choices of 2nd and 4th order cumulants. The resulting performance is investigated as a function of the SNR and of the non gaussianity of the source signals and further compared to suboptimal approaches.
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