Abstract
The aim of this paper is to present several algorithms which solve the blind source separation (BSS) problem when stationary noises are added to the source signals in the linear instantaneous mixture context. We use a new criterion based on the differential normalized kurtosis that we developed in a previous paper. The different algorithms are then applied to mixtures of two sources signals and an additive noise.
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