{"title":"几种时频分析方法的比较","authors":"Xiaowan Yu, Yun Lin, Z. Dou","doi":"10.1109/ICEICT.2016.7879689","DOIUrl":null,"url":null,"abstract":"In this paper, the author introduces three useful linear time-frequency analysis methods: short-time Fourier transform(STFT), wavelet transform(WT), S transform(ST) and generalized S transform(GST). Then, algorithm simulations are conducted using these four methods to show their advantage and disadvantage.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The comparison of several kinds of time-frequency analysis methods\",\"authors\":\"Xiaowan Yu, Yun Lin, Z. Dou\",\"doi\":\"10.1109/ICEICT.2016.7879689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the author introduces three useful linear time-frequency analysis methods: short-time Fourier transform(STFT), wavelet transform(WT), S transform(ST) and generalized S transform(GST). Then, algorithm simulations are conducted using these four methods to show their advantage and disadvantage.\",\"PeriodicalId\":224387,\"journal\":{\"name\":\"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEICT.2016.7879689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT.2016.7879689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The comparison of several kinds of time-frequency analysis methods
In this paper, the author introduces three useful linear time-frequency analysis methods: short-time Fourier transform(STFT), wavelet transform(WT), S transform(ST) and generalized S transform(GST). Then, algorithm simulations are conducted using these four methods to show their advantage and disadvantage.