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Enhancing Linear Independent Component Analysis: Comparison of Various Metaheuristic Methods
2020
Iraqi Journal for Electrical And Electronic Engineering
Various methods have been exploited in the blind source separation problems, especially in cocktail party problems. The most commonly used method is the independent component analysis (ICA). Many linear and nonlinear ICA methods, such as the radial basis functions (RBF) and self-organizing map (SOM) methods utilise neural networks and genetic algorithms as optimisation methods. For the contrast function, most of the traditional methods, especially the neural networks, use the gradient descent
doi:10.37917/ijeee.16.1.14
fatcat:6rvoiaa23jgkjb3xdwfxte4j5m