{"title":"基于压缩感知的时频移测量系统","authors":"Xie Xiao-Chun","doi":"10.1109/WCINS.2010.5541896","DOIUrl":null,"url":null,"abstract":"Compressive sensing theory can exploit the information of sparsity/compressibility signal efficiently. It is useful when measurements are expensive. This paper introduces a simple and effective measurement process based on compressive sensing of time-frequency shifts system. Numerical simulations verify that better performance can be achieved in practice.","PeriodicalId":156036,"journal":{"name":"2010 IEEE International Conference on Wireless Communications, Networking and Information Security","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Compressive sensing based measurement of time-frequency shifts system\",\"authors\":\"Xie Xiao-Chun\",\"doi\":\"10.1109/WCINS.2010.5541896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compressive sensing theory can exploit the information of sparsity/compressibility signal efficiently. It is useful when measurements are expensive. This paper introduces a simple and effective measurement process based on compressive sensing of time-frequency shifts system. Numerical simulations verify that better performance can be achieved in practice.\",\"PeriodicalId\":156036,\"journal\":{\"name\":\"2010 IEEE International Conference on Wireless Communications, Networking and Information Security\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Wireless Communications, Networking and Information Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCINS.2010.5541896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Wireless Communications, Networking and Information Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCINS.2010.5541896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compressive sensing based measurement of time-frequency shifts system
Compressive sensing theory can exploit the information of sparsity/compressibility signal efficiently. It is useful when measurements are expensive. This paper introduces a simple and effective measurement process based on compressive sensing of time-frequency shifts system. Numerical simulations verify that better performance can be achieved in practice.