PSO-based infomax algorithm for frequency-domain blind source separation

Author

Geravanchizadeh, Masoud ; Hesam, Masoumeh

Author_Institution

Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran

fYear

2011

fDate

17-19 May 2011

Firstpage

1

Lastpage

4

Abstract

This paper discusses an improved infomax algorithm for independent component analysis to process complex-valued signals in frequency-domain blind source separation (BSS). It is known that the choice of the step-size affects the speed of convergence in infomax algorithm. In this paper, a step-size adjustment method is proposed for infomax algorithm, which is based on particle swarm optimization (PSO) technique. Our discussion is supported by experimental results for separating speech signals, which show that the proposed approach exhibits rapid convergence than fixed step-size methods.

Keywords

blind source separation; frequency-domain analysis; independent component analysis; particle swarm optimisation; speech processing; PSO-based infomax algorithm; complex-valued signals; fixed step-size methods; frequency-domain BSS; frequency-domain blind source separation; independent component analysis; particle swarm optimization infomax algorithm; speech signals; Algorithm design and analysis; Blind source separation; Convergence; Frequency domain analysis; Particle swarm optimization; Speech; Blind Source Separation; Complex-valued Signal; Convolutive Mixture; Independent Component Analysis; Infomax Algorithm; Particle Swarm Optimization (PSO); Step-size;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2011 19th Iranian Conference on

Conference_Location

Tehran

Print_ISBN

978-1-4577-0730-8

Electronic_ISBN

978-964-463-428-4

Type

conf

Filename

5955697