{"title":"Lower bounds on the rate-distortion function of individual LDGM codes","authors":"S. Kudekar, R. Urbanke","doi":"10.1109/TURBOCODING.2008.4658729","DOIUrl":null,"url":null,"abstract":"We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function which are valid for any low-density generator-matrix code with a given node degree distribution L(x) on the set of generators and for any encoding algorithm. These bounds show that, due to the sparseness of the code, the performance is strictly bounded away from the Shannon rate-distortion function. In this sense, our bounds represent a natural generalization of Gallagerpsilas bound on the maximum rate at which low-density parity-check codes can be used for reliable transmission. Our bounds are inspired by the recent work of Dimakis, Wainwright, and Ramchandran, but they apply to individual codes.","PeriodicalId":284046,"journal":{"name":"2008 5th International Symposium on Turbo Codes and Related Topics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 5th International Symposium on Turbo Codes and Related Topics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TURBOCODING.2008.4658729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function which are valid for any low-density generator-matrix code with a given node degree distribution L(x) on the set of generators and for any encoding algorithm. These bounds show that, due to the sparseness of the code, the performance is strictly bounded away from the Shannon rate-distortion function. In this sense, our bounds represent a natural generalization of Gallagerpsilas bound on the maximum rate at which low-density parity-check codes can be used for reliable transmission. Our bounds are inspired by the recent work of Dimakis, Wainwright, and Ramchandran, but they apply to individual codes.