{"title":"自适应信号处理算法的有效性","authors":"G. Moustakides","doi":"10.1109/ISIT.1994.394846","DOIUrl":null,"url":null,"abstract":"A method for theoretically comparing a class of adaptive estimation algorithms is presented. The method consists in defining for each algorithm in the class a quantity (the efficacy) that is theoretically computable, that depends only on the statistics of the data. The larger the efficacy the better the algorithm performs.<<ETX>>","PeriodicalId":331390,"journal":{"name":"Proceedings of 1994 IEEE International Symposium on Information Theory","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Efficacy of adaptive signal processing algorithms\",\"authors\":\"G. Moustakides\",\"doi\":\"10.1109/ISIT.1994.394846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for theoretically comparing a class of adaptive estimation algorithms is presented. The method consists in defining for each algorithm in the class a quantity (the efficacy) that is theoretically computable, that depends only on the statistics of the data. The larger the efficacy the better the algorithm performs.<<ETX>>\",\"PeriodicalId\":331390,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.1994.394846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.1994.394846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method for theoretically comparing a class of adaptive estimation algorithms is presented. The method consists in defining for each algorithm in the class a quantity (the efficacy) that is theoretically computable, that depends only on the statistics of the data. The larger the efficacy the better the algorithm performs.<>