Blind source separation of a class of nonlinear mixtures

Authors:
Leonardo Tomazeli Duarte;Christian Jutten
Affiliations:
GIPSA-lab, INPG-CNRS, Grenoble, France;GIPSA-lab, INPG-CNRS, Grenoble, France
Venue:
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Year:
2007

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Abstract

In this work, we deal with blind source separation of a class of nonlinear mixtures. The proposed method can be regarded as an adaptation of the solutions developed in [1, 2] to the considered mixing system. Also, we provide a local stability analysis of the employed learning rule, which permits us to establish necessary conditions for an appropriate convergence. The validity of our approach is supported by simulations.