{"title":"数字通信的均值测试和渐近性能","authors":"A. Sesay","doi":"10.1109/SSAP.1994.572446","DOIUrl":null,"url":null,"abstract":"The method proposed is one that is based on the descrepancy of the means under different hypotheses. A hypotheses test is constructed in terms of conditional innovations sequences generated from the received sequence. Observing that the only statistics that change with hypotheses are the conditional means, the problem is treated as a test of the descrepancy of the means. An approximate sequential test is used and the test statistic is shown to be Frasersufficient. Asymptotic probability of error results are obtained using Cramer's theorem for maximum likelihood estimates.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mean-based Tests And Aymptotic Performance For Digital Communications\",\"authors\":\"A. Sesay\",\"doi\":\"10.1109/SSAP.1994.572446\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The method proposed is one that is based on the descrepancy of the means under different hypotheses. A hypotheses test is constructed in terms of conditional innovations sequences generated from the received sequence. Observing that the only statistics that change with hypotheses are the conditional means, the problem is treated as a test of the descrepancy of the means. An approximate sequential test is used and the test statistic is shown to be Frasersufficient. Asymptotic probability of error results are obtained using Cramer's theorem for maximum likelihood estimates.\",\"PeriodicalId\":151571,\"journal\":{\"name\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1994.572446\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1994.572446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mean-based Tests And Aymptotic Performance For Digital Communications
The method proposed is one that is based on the descrepancy of the means under different hypotheses. A hypotheses test is constructed in terms of conditional innovations sequences generated from the received sequence. Observing that the only statistics that change with hypotheses are the conditional means, the problem is treated as a test of the descrepancy of the means. An approximate sequential test is used and the test statistic is shown to be Frasersufficient. Asymptotic probability of error results are obtained using Cramer's theorem for maximum likelihood estimates.
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