{"title":"基于LDGM码的有损信源压缩的改进真实性传播算法","authors":"Jianping Zheng, B. Bai, Ying Li, Jingmei Liu","doi":"10.1109/WCSP.2010.5633438","DOIUrl":null,"url":null,"abstract":"This letter considers the lossy source compression of a binary symmetric source using low-density generator matrix (LDGM) codes and truthiness propagation encoding algorithm. And a simple variant on the truthiness propagation is proposed by softening the a priori probability of the reconstructed source sequence. Comparisons with the truthiness propagation reveal that the proposed algorithm has better rate-distortion performance at low-to-medium code rates.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modified truthiness propagation algorithm for lossy source compression based on LDGM codes\",\"authors\":\"Jianping Zheng, B. Bai, Ying Li, Jingmei Liu\",\"doi\":\"10.1109/WCSP.2010.5633438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This letter considers the lossy source compression of a binary symmetric source using low-density generator matrix (LDGM) codes and truthiness propagation encoding algorithm. And a simple variant on the truthiness propagation is proposed by softening the a priori probability of the reconstructed source sequence. Comparisons with the truthiness propagation reveal that the proposed algorithm has better rate-distortion performance at low-to-medium code rates.\",\"PeriodicalId\":448094,\"journal\":{\"name\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2010.5633438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2010.5633438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified truthiness propagation algorithm for lossy source compression based on LDGM codes
This letter considers the lossy source compression of a binary symmetric source using low-density generator matrix (LDGM) codes and truthiness propagation encoding algorithm. And a simple variant on the truthiness propagation is proposed by softening the a priori probability of the reconstructed source sequence. Comparisons with the truthiness propagation reveal that the proposed algorithm has better rate-distortion performance at low-to-medium code rates.