A Method of Genetic Algorithm (GA) for FIR Filter Construction: Design and Development with Newer Approaches in Neural Network Platform

被引：0

作者：

Dey, Ajoy Kumar ^{[1
]}

Saha, Susmita ^{[1
]}

Saha, Avijit ^{[2
]}

Ghosh, Shibani ^{[2
]}

机构：

[1] BTH, Dept Signal Proc, Karlskrona, Sweden

[2] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka, Bangladesh

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2010年 / 1卷 / 06期

关键词：

Genetic Algorithm; FIR: filter design; optimization; neural network;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The main focus of this paper is to describe a developed and dynamic method of designing finite impulse response filters with automatic, rapid and less computational complexity by an efficient Genetic approach. To obtain such efficiency, specific filter coefficient coding scheme has been studied and implemented. The algorithm generates a population of genomes that represents the filter coefficient where new genomes are generated by crossover, mutation operations methods. Our proposed genetic technique has able to give better result compare to other method.

引用

页码：87 / 90

页数：4

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