{"title":"Sub-Band Cramer-Rao Bounds for Frequency-Selective Spectral Analysis","authors":"N. Sandgren, P. Stoica","doi":"10.1109/ACSSC.2005.1600003","DOIUrl":null,"url":null,"abstract":"The computational complexity of a parametric spectral analysis method usually increases rapidly for large numbers of measured signal samples. Splitting the considered frequency range into several s ...","PeriodicalId":326489,"journal":{"name":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","volume":"155 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2005.1600003","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
The computational complexity of a parametric spectral analysis method usually increases rapidly for large numbers of measured signal samples. Splitting the considered frequency range into several s ...
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