{"title":"高斯干扰背景下信号自适应检测器学习样本大小的选择","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":"{\"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}","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}
Choice of learning sample size in adaptive detectors of signals against a background of Gaussian interference
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