Improved Fast ICA Algorithm Using Eighth-Order Newton’s Method
نویسندگان
چکیده
Independent Component Analysis (ICA) is a computational method to solve Blind Source Separation (BSS) problem. In this study, an improved Fast ICA based on eighth-order Newton’s method is proposed to solve BSS problems. Eight-order Newton’s method for finding the solution of nonlinear equations is much faster than ordinary Newton’s iterative method. The improved FastICA algorithm is applied to separate sound signals. The simulation results show the method has fewer iterations and faster convergence speed.
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