{"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}
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.