使用LMS算法有效实现自适应FIR-IFIR滤波器

E. Batista, O. J. Tobias, R. Seara
{"title":"使用LMS算法有效实现自适应FIR-IFIR滤波器","authors":"E. Batista, O. J. Tobias, R. Seara","doi":"10.5281/ZENODO.41945","DOIUrl":null,"url":null,"abstract":"This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"432 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient implementation of adaptive FIR-IFIR filters using the LMS algorithm\",\"authors\":\"E. Batista, O. J. Tobias, R. Seara\",\"doi\":\"10.5281/ZENODO.41945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.\",\"PeriodicalId\":409817,\"journal\":{\"name\":\"2010 18th European Signal Processing Conference\",\"volume\":\"432 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 18th European Signal Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.41945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.41945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种利用LMS算法有效实现自适应FIR-IFIR滤波器的方法。这种方法的动机是使用带有去除边界效应的IFIR滤波器,旨在消除由FIR-IFIR组合引起的回波抵消应用的性能损失。因此,与其他FIR-IFIR方法相比,获得了一种在性能和计算复杂度之间更好权衡的算法。数值仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient implementation of adaptive FIR-IFIR filters using the LMS algorithm
This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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