{"title":"A truncation depth rule of thumb for convolutional codes","authors":"Bruce Moision","doi":"10.1109/ITA.2008.4601052","DOIUrl":null,"url":null,"abstract":"The commonly used rule of thumb of 5 m for the truncation depth of a memory m convolutional code is accurate only for rate 1/2 codes and should be replaced by two to three times m/(1-r) for a rate r code.","PeriodicalId":345196,"journal":{"name":"2008 Information Theory and Applications Workshop","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Information Theory and Applications Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITA.2008.4601052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The commonly used rule of thumb of 5 m for the truncation depth of a memory m convolutional code is accurate only for rate 1/2 codes and should be replaced by two to three times m/(1-r) for a rate r code.