{"title":"改进的分辨率短时傅里叶变换","authors":"Nabeel Ali Khan, M. N. Jafri, S. A. Qazi","doi":"10.1109/ICET.2011.6048476","DOIUrl":null,"url":null,"abstract":"Short time Fourier transform is simple and yet effective tool for computing time frequency representations. However, its performance greatly depends upon shape and size of window employed. Longer windows give good frequency resolution while shorter windows give good time resolution. In this paper, we present a novel method to improve the resolution of short time Fourier transform by combining short time Fourier transforms of different window lengths.","PeriodicalId":167049,"journal":{"name":"2011 7th International Conference on Emerging Technologies","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Improved resolution short time Fourier transform\",\"authors\":\"Nabeel Ali Khan, M. N. Jafri, S. A. Qazi\",\"doi\":\"10.1109/ICET.2011.6048476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Short time Fourier transform is simple and yet effective tool for computing time frequency representations. However, its performance greatly depends upon shape and size of window employed. Longer windows give good frequency resolution while shorter windows give good time resolution. In this paper, we present a novel method to improve the resolution of short time Fourier transform by combining short time Fourier transforms of different window lengths.\",\"PeriodicalId\":167049,\"journal\":{\"name\":\"2011 7th International Conference on Emerging Technologies\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 7th International Conference on Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET.2011.6048476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 7th International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2011.6048476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Short time Fourier transform is simple and yet effective tool for computing time frequency representations. However, its performance greatly depends upon shape and size of window employed. Longer windows give good frequency resolution while shorter windows give good time resolution. In this paper, we present a novel method to improve the resolution of short time Fourier transform by combining short time Fourier transforms of different window lengths.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
