{"title":"使用迭代解码技术的分组代码重建","authors":"M. Cluzeau","doi":"10.1109/ISIT.2006.261971","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new algorithm for recovering a linear block code from noisy codewords. To achieve this, we introduce a version of Gallager algorithm with weighted parity-check equations. This new algorithm efficiently recovers LDPC codes and can also be used for other block codes","PeriodicalId":115298,"journal":{"name":"2006 IEEE International Symposium on Information Theory","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":"{\"title\":\"Block code reconstruction using iterative decoding techniques\",\"authors\":\"M. Cluzeau\",\"doi\":\"10.1109/ISIT.2006.261971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new algorithm for recovering a linear block code from noisy codewords. To achieve this, we introduce a version of Gallager algorithm with weighted parity-check equations. This new algorithm efficiently recovers LDPC codes and can also be used for other block codes\",\"PeriodicalId\":115298,\"journal\":{\"name\":\"2006 IEEE International Symposium on Information Theory\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"58\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2006.261971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2006.261971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Block code reconstruction using iterative decoding techniques
In this paper, we present a new algorithm for recovering a linear block code from noisy codewords. To achieve this, we introduce a version of Gallager algorithm with weighted parity-check equations. This new algorithm efficiently recovers LDPC codes and can also be used for other block codes