{"title":"一种新的快速密度演化","authors":"Hui Jin, T. Richardson","doi":"10.1109/ITW.2006.1633807","DOIUrl":null,"url":null,"abstract":"Density evolution for LDPC codes predicts asymptotic performance and serves as a practical design tool for designing top performing structures [1]. Many papers advocate the use of exit chart methods and other approximations, proclaiming that density evolution is computationally too intensive. In this paper we show that this is not the case: we present a highly efficient and accurate implementation of density evolution for LDPC codes.","PeriodicalId":293144,"journal":{"name":"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este","volume":"200 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A New Fast Density Evolution\",\"authors\":\"Hui Jin, T. Richardson\",\"doi\":\"10.1109/ITW.2006.1633807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Density evolution for LDPC codes predicts asymptotic performance and serves as a practical design tool for designing top performing structures [1]. Many papers advocate the use of exit chart methods and other approximations, proclaiming that density evolution is computationally too intensive. In this paper we show that this is not the case: we present a highly efficient and accurate implementation of density evolution for LDPC codes.\",\"PeriodicalId\":293144,\"journal\":{\"name\":\"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este\",\"volume\":\"200 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITW.2006.1633807\",\"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 Information Theory Workshop - ITW '06 Punta del Este","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW.2006.1633807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Density evolution for LDPC codes predicts asymptotic performance and serves as a practical design tool for designing top performing structures [1]. Many papers advocate the use of exit chart methods and other approximations, proclaiming that density evolution is computationally too intensive. In this paper we show that this is not the case: we present a highly efficient and accurate implementation of density evolution for LDPC codes.
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