{"title":"具有间歇性错误的信道","authors":"A. Mazumdar, A. Barg","doi":"10.1109/ISIT.2011.6033849","DOIUrl":null,"url":null,"abstract":"We study coding for binary channels in which out of any two consecutive transmitted bits at most one can be affected by errors. We consider a set of basic coding problems for such channels, deriving estimates on the size of optimal codes and providing some constructions. We also study a generalization to errors separated by at least s = 2, 3, … error-free channel uses. Finally, we define a probabilistic model of a binary channel with non-adjacent errors and find the capacity of this channel.","PeriodicalId":208375,"journal":{"name":"2011 IEEE International Symposium on Information Theory Proceedings","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Channels with intermittent errors\",\"authors\":\"A. Mazumdar, A. Barg\",\"doi\":\"10.1109/ISIT.2011.6033849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study coding for binary channels in which out of any two consecutive transmitted bits at most one can be affected by errors. We consider a set of basic coding problems for such channels, deriving estimates on the size of optimal codes and providing some constructions. We also study a generalization to errors separated by at least s = 2, 3, … error-free channel uses. Finally, we define a probabilistic model of a binary channel with non-adjacent errors and find the capacity of this channel.\",\"PeriodicalId\":208375,\"journal\":{\"name\":\"2011 IEEE International Symposium on Information Theory Proceedings\",\"volume\":\"188 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on Information Theory Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2011.6033849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Information Theory Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2011.6033849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study coding for binary channels in which out of any two consecutive transmitted bits at most one can be affected by errors. We consider a set of basic coding problems for such channels, deriving estimates on the size of optimal codes and providing some constructions. We also study a generalization to errors separated by at least s = 2, 3, … error-free channel uses. Finally, we define a probabilistic model of a binary channel with non-adjacent errors and find the capacity of this channel.