{"title":"Choice of learning sample size in adaptive detectors of signals against a background of Gaussian interference","authors":"M. Bondarenko, D.I. Lekhovitsky","doi":"10.1109/CAMAP.2005.1574223","DOIUrl":null,"url":null,"abstract":"The \"statistical\" rates of convergence of a number of Gaussian coherent signal adaptive detectors with the maximum likelihood estimation of a Gaussian interference correlation matrix are compared, and recommendations on their practical application are given","PeriodicalId":281761,"journal":{"name":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAP.2005.1574223","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 "statistical" rates of convergence of a number of Gaussian coherent signal adaptive detectors with the maximum likelihood estimation of a Gaussian interference correlation matrix are compared, and recommendations on their practical application are given