{"title":"用线性规划估计埋在白噪声中的两个紧密间隔频率","authors":"J. Keybl, G. Eichmann","doi":"10.1364/srs.1983.wa18","DOIUrl":null,"url":null,"abstract":"Linear programming is used to estimate the spectrum of two sinusoids signals closely-spaced in frequency buried in deep white gaussian noise by employing a-priori knowledge of the spectrum. The method will be illustrated by a number of examples.","PeriodicalId":279385,"journal":{"name":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of Two Closely Spaced Frequencies Buried in White Noise Using Linear Programming\",\"authors\":\"J. Keybl, G. Eichmann\",\"doi\":\"10.1364/srs.1983.wa18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linear programming is used to estimate the spectrum of two sinusoids signals closely-spaced in frequency buried in deep white gaussian noise by employing a-priori knowledge of the spectrum. The method will be illustrated by a number of examples.\",\"PeriodicalId\":279385,\"journal\":{\"name\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"volume\":\"30 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\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1983.wa18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1983.wa18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of Two Closely Spaced Frequencies Buried in White Noise Using Linear Programming
Linear programming is used to estimate the spectrum of two sinusoids signals closely-spaced in frequency buried in deep white gaussian noise by employing a-priori knowledge of the spectrum. The method will be illustrated by a number of examples.