{"title":"性能分析模拟信息转换器在噪声条件下的性能分析","authors":"Taner Ince, A. Nacaroglu, Nurdal Watsuji","doi":"10.1109/SIU.2010.5654428","DOIUrl":null,"url":null,"abstract":"In this study we presented the performance of random demodulation based analog to information converter under noisy environment. Compressive sampling (Compressed sensing) is a new area of signal processing and attracts too much attention in recent years. Compressive sampling states that if a signal having length N has a sparse representation on an orthonormal basis, then it is possible to recover this signal exactly from M<<N measurements. Hence this allows reconstruction signals far below the Nyquist rate.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performans analizi performance analysis of analog to information converter under noisy conditions\",\"authors\":\"Taner Ince, A. Nacaroglu, Nurdal Watsuji\",\"doi\":\"10.1109/SIU.2010.5654428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study we presented the performance of random demodulation based analog to information converter under noisy environment. Compressive sampling (Compressed sensing) is a new area of signal processing and attracts too much attention in recent years. Compressive sampling states that if a signal having length N has a sparse representation on an orthonormal basis, then it is possible to recover this signal exactly from M<<N measurements. Hence this allows reconstruction signals far below the Nyquist rate.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5654428\",\"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 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5654428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performans analizi performance analysis of analog to information converter under noisy conditions
In this study we presented the performance of random demodulation based analog to information converter under noisy environment. Compressive sampling (Compressed sensing) is a new area of signal processing and attracts too much attention in recent years. Compressive sampling states that if a signal having length N has a sparse representation on an orthonormal basis, then it is possible to recover this signal exactly from M<
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