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Simulated Annealing Based-GA Using Injective Contrast Functions for BSS
[chapter]
2005
Lecture Notes in Computer Science
In this paper we present a novel GA-ICA method which converges to the optimum. The new method for blindly separating unobservable independent component signals from their linear mixtures (Blind Source Separation BSS), uses genetic algorithms (GA) to find the separation matrices which minimize a cumulant based contrast function. The paper also include a formal prove on the convergence of the proposed algorithm using guiding operators, a new concept in the genetic algorithms scenario. This
doi:10.1007/11428831_72
fatcat:xhhtkz5devd2bpdfug556qpxiu