{"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}
引用次数: 1
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.<>