A new FastICA algorithm of Newton´s iteration

Author

Ce, Ji ; Yang, Yu ; Peng, Yu

Author_Institution

Dept. of Inf. Sci. & Eng., Northeast Univ., Shenyang, China

Volume

3

fYear

2010

fDate

22-24 June 2010

Abstract

This paper introduces the basic theory of ICA and the FastICA algorithm. In order to increase the algorithm convergence rate and reduce the running time, the paper which is based on FastICA algorithm proposes an improved independent component analysis algorithm with Newton´s iteration- the “Newton Type” iteration algorithm with third-order convergence. The simulation results of the image signal separation show that the improved algorithm have the same separate effect as conventional FastICA algorithm and can reduce the times of iterations.

Keywords

Newton method; blind source separation; convergence of numerical methods; independent component analysis; FastICA algorithm; Newton iteration; algorithm convergence rate; image signal separation; Blind source separation; Computer science education; Convergence; Educational technology; Independent component analysis; Information science; Matrix decomposition; Paper technology; Signal analysis; Source separation; “Newton Type” iteration method; FastICA algorithm; Independent component analysis; Negentropy;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer (ICETC), 2010 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6367-1

Type

conf

DOI

10.1109/ICETC.2010.5529496

Filename

5529496