{"title":"Non-linear MMSE estimation and SbS-MAP receivers","authors":"S. Galli","doi":"10.1109/ISIT.2000.866372","DOIUrl":null,"url":null,"abstract":"For the first time it is here shown that symbol-by-symbol maximum a posteriori (SbS-MAP) receivers are able to generate non-linear minimum mean square error (NL-MMSE) estimates of the transmitted symbols.","PeriodicalId":108752,"journal":{"name":"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2000.866372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
For the first time it is here shown that symbol-by-symbol maximum a posteriori (SbS-MAP) receivers are able to generate non-linear minimum mean square error (NL-MMSE) estimates of the transmitted symbols.