{"title":"介绍小波和时频分析。","authors":"Rodrigo Guido, Paul Addison, James Walker","doi":"10.1109/MEMB.2009.934243","DOIUrl":null,"url":null,"abstract":"The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.","PeriodicalId":50391,"journal":{"name":"IEEE Engineering in Medicine and Biology Magazine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MEMB.2009.934243","citationCount":"27","resultStr":"{\"title\":\"Introducing wavelets and time--frequency analysis.\",\"authors\":\"Rodrigo Guido, Paul Addison, James Walker\",\"doi\":\"10.1109/MEMB.2009.934243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.\",\"PeriodicalId\":50391,\"journal\":{\"name\":\"IEEE Engineering in Medicine and Biology Magazine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/MEMB.2009.934243\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Engineering in Medicine and Biology Magazine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMB.2009.934243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Engineering in Medicine and Biology Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMB.2009.934243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Introducing wavelets and time--frequency analysis.
The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.