Abstract
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Article Information:
Improved Fast ICA Algorithm Using Eighth-Order Newton’s Method
Tahir Ahmad, Norma Alias, Mahdi Ghanbari and Mohammad Askaripour
Corresponding Author: Tahir Ahmad
Submitted: November 12, 2012
Accepted: January 01, 2013
Published: July 20, 2013 |
Abstract:
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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.
Key words: FastICA, Independent Component Analysis (ICA), Newton’s method, , , ,
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Cite this Reference:
Tahir Ahmad, Norma Alias, Mahdi Ghanbari and Mohammad Askaripour, . Improved Fast ICA Algorithm Using Eighth-Order Newton’s Method. Research Journal of Applied Sciences, Engineering and Technology, (10): 1794-1798.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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