Genetic algorithms and their applications

Author

Tang, K.S. ; Man, K.F. ; Kwong, S. ; He, Q.

Author_Institution

City Univ. of Hong Kong, Hong Kong

Volume

13

Issue

6

fYear

1996

fDate

11/1/1996 12:00:00 AM

Firstpage

22

Lastpage

37

Abstract

This article introduces the genetic algorithm (GA) as an emerging optimization algorithm for signal processing. After a discussion of traditional optimization techniques, it reviews the fundamental operations of a simple GA and discusses procedures to improve its functionality. The properties of the GA that relate to signal processing are summarized, and a number of applications, such as IIR adaptive filtering, time delay estimation, active noise control, and speech processing, that are being successfully implemented are described

Keywords

IIR filters; acoustic noise; active noise control; adaptive filters; delays; filtering theory; genetic algorithms; signal processing; speech processing; IIR adaptive filtering; active noise control; genetic algorithms; optimization algorithm; optimization techniques; signal processing; speech processing; time delay estimation; Biological cells; Delay estimation; Finite impulse response filter; Genetic algorithms; Image coding; Image recognition; Nonlinear filters; Signal processing; Signal processing algorithms; Speech coding;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/79.543973

Filename

543973