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2013 (Vol. 6, Issue: 10)
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 

Key words:  FastICA, Independent Component Analysis (ICA), Newton’s method, , , ,
Vol. 6 , (10): 1794-1798
Submitted Accepted Published
November 12, 2012 January 01, 2013 July 20, 2013
Abstract:

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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  Cite this Reference:
Tahir Ahmad, Norma Alias, Mahdi Ghanbari and Mohammad Askaripour, 2013. Improved Fast ICA Algorithm Using Eighth-Order Newton’s Method.  Research Journal of Applied Sciences, Engineering and Technology, 6(10): 1794-1798.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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