{"title":"卷积代码的截断深度经验法则","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":"{\"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}","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}
A truncation depth rule of thumb for convolutional codes
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.