{"title":"随机编码界的鞍点近似","authors":"Alfonso Martinez, A. G. Fàbregas","doi":"10.1109/ITA.2011.5743590","DOIUrl":null,"url":null,"abstract":"This paper considers random-coding bounds to the decoding error probability with maximum-metric mismatched decoders. Their error exponents are determined and the saddle-point approximation to the corresponding probability is derived. This approximation is accurate and allows for simple numerical evaluation, as verified for several channels of interest.","PeriodicalId":326414,"journal":{"name":"2011 Information Theory and Applications Workshop","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":"{\"title\":\"Saddlepoint approximation of random-coding bounds\",\"authors\":\"Alfonso Martinez, A. G. Fàbregas\",\"doi\":\"10.1109/ITA.2011.5743590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers random-coding bounds to the decoding error probability with maximum-metric mismatched decoders. Their error exponents are determined and the saddle-point approximation to the corresponding probability is derived. This approximation is accurate and allows for simple numerical evaluation, as verified for several channels of interest.\",\"PeriodicalId\":326414,\"journal\":{\"name\":\"2011 Information Theory and Applications Workshop\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"62\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Information Theory and Applications Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITA.2011.5743590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Information Theory and Applications Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITA.2011.5743590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper considers random-coding bounds to the decoding error probability with maximum-metric mismatched decoders. Their error exponents are determined and the saddle-point approximation to the corresponding probability is derived. This approximation is accurate and allows for simple numerical evaluation, as verified for several channels of interest.