{"title":"具有编码侧信息的统一二进制源的无损压缩","authors":"K. M. Morshed, I. Land, G. Lechner","doi":"10.1109/AusCTW.2014.6766436","DOIUrl":null,"url":null,"abstract":"This paper studies code design for lossless compression with coded side-information for uniform binary sources with symmetric correlation. We propose LDPC codes for binning and convolutional codes for coding the side-information, and we present two strategies to design the codes. We further investigate the rate gaps due to the imperfections of the practical binning and rate-distortion codes.","PeriodicalId":378421,"journal":{"name":"2014 Australian Communications Theory Workshop (AusCTW)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Lossless compression of uniform binary sources with coded side-information\",\"authors\":\"K. M. Morshed, I. Land, G. Lechner\",\"doi\":\"10.1109/AusCTW.2014.6766436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies code design for lossless compression with coded side-information for uniform binary sources with symmetric correlation. We propose LDPC codes for binning and convolutional codes for coding the side-information, and we present two strategies to design the codes. We further investigate the rate gaps due to the imperfections of the practical binning and rate-distortion codes.\",\"PeriodicalId\":378421,\"journal\":{\"name\":\"2014 Australian Communications Theory Workshop (AusCTW)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Australian Communications Theory Workshop (AusCTW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AusCTW.2014.6766436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Australian Communications Theory Workshop (AusCTW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AusCTW.2014.6766436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lossless compression of uniform binary sources with coded side-information
This paper studies code design for lossless compression with coded side-information for uniform binary sources with symmetric correlation. We propose LDPC codes for binning and convolutional codes for coding the side-information, and we present two strategies to design the codes. We further investigate the rate gaps due to the imperfections of the practical binning and rate-distortion codes.