EVOLUTIONARY TECHNIQUES FOR THE SYNTHESIS OF 2-D FIR FILTERS

被引：0

作者：

Boudjelaba, Kamal ^{[1
]}

Chikouche, Djamel ^{[2
]}

Ros, Frederic ^{[1
]}

机构：

[1] Polytech Orleans, ISS, Prisme Inst, 12 Rue Blois, Orleans, France

[2] Univ Msila, Elect Dept, Msila, Algeria

来源：

2011 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2011年

关键词：

Genetic algorithm; tabu search; simulated annealing; hill-climbing; 2-D FIR filter; DIGITAL-FILTERS; DESIGN;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an objective and comparative study of evolutionary algorithms applied for designing two dimensional (2-D) 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.

引用

页码：601 / 604

页数：4

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