{"title":"Refined Kalman smoothing for decoding real convolutional codes","authors":"R. Redinbo","doi":"10.1109/ISIT.1998.708844","DOIUrl":null,"url":null,"abstract":"Real number convolutional codes can be corrected by time-varying smoothed Kalman estimation. The smoothing process can be truncated whenever the tracking innovations fall below a precomputed matrix norm.","PeriodicalId":133728,"journal":{"name":"Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)","volume":"5 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.1998.708844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Real number convolutional codes can be corrected by time-varying smoothed Kalman estimation. The smoothing process can be truncated whenever the tracking innovations fall below a precomputed matrix norm.