Evolutionary techniques for the synthesis of 2-D FIR filters

Author

Boudjelaba, Kamal ; Chikouche, Djamel ; Ros, Frédéric

Author_Institution

Prisme Inst., Polytech´´Orleans, Orleans, France

fYear

2011

fDate

28-30 June 2011

Firstpage

601

Lastpage

604

Abstract

This paper presents an objective and comparative study of evolutionary algorithms applied for designing two dimensional (2D) FIR filters. The design of 2-D FIR filters can be formulated as a non-linear optimization problem. We explore several stochastic methodologies capable of handling large spaces. We finally propose a new genetic algorithm where some concepts are introduced to optimize the trade-off between diversity and elitism in the genetic population. All these characteristics make this study a general and effective one for revealing the performance of evolutionary algorithms.

Keywords

FIR filters; genetic algorithms; nonlinear programming; signal synthesis; stochastic programming; 2D FIR filter synthesis; evolutionary techniques; genetic algorithm; nonlinear optimization problem; stochastic methodology; two dimensional FIR filter design; Biological cells; Filtering algorithms; Finite impulse response filter; Genetic algorithms; Simulated annealing; 2-D FIR filter; Genetic algorithm; hill-climbing; simulated annealing; tabu search;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing Workshop (SSP), 2011 IEEE

Conference_Location

Nice

ISSN

pending

Print_ISBN

978-1-4577-0569-4

Type

conf

DOI

10.1109/SSP.2011.5967771

Filename

5967771