{"title":"探索鲍姆-韦尔奇算法和turbo解码之间的关系","authors":"Saejoon Kim, S. Wicker","doi":"10.1109/ISIT.1998.708708","DOIUrl":null,"url":null,"abstract":"It is shown that the problem of APP decoding of single and parallel concatenated codes can be recast in terms of parameter estimation for one or more nonstationary hidden Markov processes. It is then shown that simple extensions of the Baum-Welch algorithm provide solutions to these problems, including solutions that provide channel-matching turbo decoding algorithms.","PeriodicalId":133728,"journal":{"name":"Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)","volume":"52 20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An exploration of the relationship between the Baum-Welch algorithm and turbo decoding\",\"authors\":\"Saejoon Kim, S. Wicker\",\"doi\":\"10.1109/ISIT.1998.708708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown that the problem of APP decoding of single and parallel concatenated codes can be recast in terms of parameter estimation for one or more nonstationary hidden Markov processes. It is then shown that simple extensions of the Baum-Welch algorithm provide solutions to these problems, including solutions that provide channel-matching turbo decoding algorithms.\",\"PeriodicalId\":133728,\"journal\":{\"name\":\"Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)\",\"volume\":\"52 20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.1998.708708\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.1998.708708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An exploration of the relationship between the Baum-Welch algorithm and turbo decoding
It is shown that the problem of APP decoding of single and parallel concatenated codes can be recast in terms of parameter estimation for one or more nonstationary hidden Markov processes. It is then shown that simple extensions of the Baum-Welch algorithm provide solutions to these problems, including solutions that provide channel-matching turbo decoding algorithms.