Complexity reduction of high-speed FIR filters using micro-genetic algorithm

Ling Cen, Y. Lian
{"title":"Complexity reduction of high-speed FIR filters using micro-genetic algorithm","authors":"Ling Cen, Y. Lian","doi":"10.1109/ISCCSP.2004.1296318","DOIUrl":null,"url":null,"abstract":"In the ASIC implementation, a long FIR filter can operate at high speed without pipelining if it is factorized into several short filters whose coefficients are in the form of the sum of signed powers-of-two terms. Such implementation reduces the hardware cost and lowers the power consumption significantly as it requires no multipliers. This paper presents a filter synthesis method that factorizes a long filter into several short filters and quantizes the coefficients of all short filters into signed powers-of-two values simultaneously using micro-genetic algorithm (/spl mu/GA). The proposed /spl mu/GA speeds up the optimization process greatly compared to conventional GA.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"5 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Symposium on Control, Communications and Signal Processing, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCSP.2004.1296318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

In the ASIC implementation, a long FIR filter can operate at high speed without pipelining if it is factorized into several short filters whose coefficients are in the form of the sum of signed powers-of-two terms. Such implementation reduces the hardware cost and lowers the power consumption significantly as it requires no multipliers. This paper presents a filter synthesis method that factorizes a long filter into several short filters and quantizes the coefficients of all short filters into signed powers-of-two values simultaneously using micro-genetic algorithm (/spl mu/GA). The proposed /spl mu/GA speeds up the optimization process greatly compared to conventional GA.
利用微遗传算法降低高速FIR滤波器的复杂度
在ASIC实现中,如果将长FIR滤波器分解为几个短滤波器,其系数以有符号的2次幂和的形式存在,则可以在没有流水线的情况下高速运行。这种实现降低了硬件成本,并显著降低了功耗,因为它不需要乘数器。本文提出了一种利用微遗传算法(/spl mu/GA)将一个长滤波器分解成若干个短滤波器,并将所有短滤波器的系数同时量化为带符号的二次幂值的滤波器合成方法。与传统遗传算法相比,所提出的/spl mu/GA大大加快了优化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信