Psychoacoustical excitation of the (N)LMS algorithm for acoustical system identification

M. Peters
{"title":"Psychoacoustical excitation of the (N)LMS algorithm for acoustical system identification","authors":"M. Peters","doi":"10.1109/ASPAA.1999.810887","DOIUrl":null,"url":null,"abstract":"This paper presents an algorithm and an implementation of orthogonal perfect correlation sequences for acoustical system identification using psychoacoustical masking effects. Therefore, the common NLMS-algorithm has been modified to incorporate hidden orthogonal Ipatov- and Huffman sequences for fast system identification. Using this method, the speed and accuracy of the identification of the loudspeaker-room-microphone (LRM)-system is increased and the overall-performance of echo and noise cancellation has been improved.","PeriodicalId":229733,"journal":{"name":"Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)","volume":"89 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPAA.1999.810887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents an algorithm and an implementation of orthogonal perfect correlation sequences for acoustical system identification using psychoacoustical masking effects. Therefore, the common NLMS-algorithm has been modified to incorporate hidden orthogonal Ipatov- and Huffman sequences for fast system identification. Using this method, the speed and accuracy of the identification of the loudspeaker-room-microphone (LRM)-system is increased and the overall-performance of echo and noise cancellation has been improved.
声学系统识别中(N)LMS算法的心理声激励
本文提出了一种利用心理声掩蔽效应进行声学系统识别的正交完全相关序列算法及其实现。因此,对常用的nlms算法进行了改进,加入了隐藏的正交Ipatov-和Huffman序列,以实现系统的快速识别。该方法提高了扬声器-房间-麦克风(LRM)系统识别的速度和精度,提高了回波和噪声消除的综合性能。
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