Blind Source Separation of a Class of Nonlinear Mixtures

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.

• Type: Conference
• Year: 2007
• Where: ICA
• Authors: Leonardo Tomazeli Duarte, Christian Jutten
• Keywords: Blind Source Separation, ICA 2007, Local Stability Analysis, Nonlinear Mixtures, Signal Processing