Abstract
This paper presents a new procedure for Blind Separation of non-Gaussian Sources. It is proven that the estimation of the separating system can be based on the cancellation of some second partial deriva- tives of the output cross-cumulants. The resulting method is based on a conjugate gradient algorithm on the Stiefel manifold. Simulated an- nealing is used to obtain a good initial value and improve the rate of convergence.
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Martin-Clemente, R., Acha, J.I., Puntonet, C.G. (2001). A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_98
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DOI: https://doi.org/10.1007/3-540-45723-2_98
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