{"title":"Data Reconstruction by Interleaved Sampling","authors":"H. Makitani, S. Kawamura","doi":"10.1109/CPEM.1988.671374","DOIUrl":null,"url":null,"abstract":"According to the Sarnpling Theorem, a given signal must be bandlimited to fo / 2 (fo is the sampling frequency) to be recoverable from its sampling data. In this paper, however, it is shown that by using several trains of interleaved sampling data, this limit can be expanded.","PeriodicalId":326579,"journal":{"name":"1988 Conference on Precision Electromagnetic Measurements","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1988 Conference on Precision Electromagnetic Measurements","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEM.1988.671374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
According to the Sarnpling Theorem, a given signal must be bandlimited to fo / 2 (fo is the sampling frequency) to be recoverable from its sampling data. In this paper, however, it is shown that by using several trains of interleaved sampling data, this limit can be expanded.
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