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.
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Duarte, L.T., Jutten, C. (2007). Blind Source Separation of a Class of Nonlinear Mixtures. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_6
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DOI: https://doi.org/10.1007/978-3-540-74494-8_6
Publisher Name: Springer, Berlin, Heidelberg
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