Blind Source Separation of a Class of Nonlinear Mixtures

Leonardo Tomazeli Duarte (1) , Christian Jutten (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Leonardo Tomazeli Duarte, Christian Jutten. Blind Source Separation of a Class of Nonlinear Mixtures. ICA 2007 - 7th International Conference on Independent Component Analysis and Signal Separation, Sep 2007, Londres, United Kingdom. pp.41-48. ⟨hal-00173300⟩