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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Duarte, L. T., & Jutten, C. (2007). Blind source separation of a class of nonlinear mixtures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4666 LNCS, pp. 41–48). Springer Verlag. https://doi.org/10.1007/978-3-540-74494-8_6
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