VQ codevector index assignment, using genetic algorithms for noisy channels

Author

Pan, J.-S. ; McInnes, F.R. ; Jack, M.A.

Author_Institution

Dept. of Electron. Eng., Kaohsiung Inst. of Technol., Taiwan

Volume

1

fYear

1996

fDate

3-6 Oct 1996

Firstpage

295

Abstract

The multi-mutation rates, multi-crossover rates and a scheme of reinitialization are applied to parallel genetic algorithms for assigning the codevector indices for noisy channels for the purpose of minimizing the distortion caused by bit errors. Experimental results based on the memoryless binary symmetric channel for any bit error demonstrate the robustness of this new approach compared with the authors´ previous work. The property of multiple global optima is also emphasized

Keywords

channel coding; coding errors; errors; genetic algorithms; parallel algorithms; speech coding; telecommunication channels; vector quantisation; VQ codevector index assignment; bit errors; distortion minimisation; genetic algorithms; memoryless binary symmetric channel; multi-crossover rates; multi-mutation rates; multiple global optima; noisy channels; reinitialization; Biological cells; Bit rate; Genetic algorithms; Genetic engineering; Genetic mutations; Lifting equipment; Probability density function; Robustness; Tin; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-3555-4

Type

conf

DOI

10.1109/ICSLP.1996.607110

Filename

607110