一种基于小波包和扩展卡尔曼滤波的单音和和弦检测算法

Y. Fukayama
{"title":"一种基于小波包和扩展卡尔曼滤波的单音和和弦检测算法","authors":"Y. Fukayama","doi":"10.1109/MWSCAS.2004.1354383","DOIUrl":null,"url":null,"abstract":"A detection algorithm for single tones and chords which sounds several tones simultaneously has been developed. The algorithm which wavelet packets analyses and extended Kalman filtering are applied to is designed for log-normal state vector, distributed initial phase and observation noise under the central limit theorem. Derivation of the algorithm as well as practical performance for transcription of chords, intervals and single tones are introduced.","PeriodicalId":185817,"journal":{"name":"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A detection algorithm for single tones and chords applying wavelet packets and the extended Kalman filter\",\"authors\":\"Y. Fukayama\",\"doi\":\"10.1109/MWSCAS.2004.1354383\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A detection algorithm for single tones and chords which sounds several tones simultaneously has been developed. The algorithm which wavelet packets analyses and extended Kalman filtering are applied to is designed for log-normal state vector, distributed initial phase and observation noise under the central limit theorem. Derivation of the algorithm as well as practical performance for transcription of chords, intervals and single tones are introduced.\",\"PeriodicalId\":185817,\"journal\":{\"name\":\"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.2004.1354383\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2004.1354383","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

提出了一种单音和同时发出多个音的和弦的检测算法。在中心极限定理下,针对对数正态向量、分布初始相位和观测噪声,设计了应用小波包分析和扩展卡尔曼滤波的算法。介绍了该算法的推导过程以及在和弦、音程和单音转录方面的实际性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A detection algorithm for single tones and chords applying wavelet packets and the extended Kalman filter
A detection algorithm for single tones and chords which sounds several tones simultaneously has been developed. The algorithm which wavelet packets analyses and extended Kalman filtering are applied to is designed for log-normal state vector, distributed initial phase and observation noise under the central limit theorem. Derivation of the algorithm as well as practical performance for transcription of chords, intervals and single tones are introduced.
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:604180095
Book学术官方微信