Research Article | OPEN ACCESS
Improved Fast ICA Algorithm Using Eighth-Order Newton's Method
Tahir Ahmad, Norma Alias, Mahdi Ghanbari and Mohammad Askaripour
IbnuSina Institute for Fundamental Sciences, Universiti Teknologi Malaysia 81310 Skudai,
Johor, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2013 10:1794-1798
Received: November 12, 2012 | Accepted: January 01, 2013 | Published: 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.
Keywords:
FastICA, Independent Component Analysis (ICA), Newton,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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