{"title":"LCLP在有损源编码中的应用","authors":"S. Miyake, J. Honda, H. Yamamoto","doi":"10.1109/ISITA.2008.4895479","DOIUrl":null,"url":null,"abstract":"Linear code linear programming (LCLP) proposed by Feldman is one of the promising methods to implement the lossy source coding process efficiently. In the encoding and decoding of a lossy source code constructed by sparse matrices, we propose auxiliary methods to obtain approximate optimal values in the case where the output of LCLP takes non-integer values. In a simulation, the proposed method attains smaller average distortions than the time-sharing bound.","PeriodicalId":338675,"journal":{"name":"2008 International Symposium on Information Theory and Its Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of LCLP to lossy source coding\",\"authors\":\"S. Miyake, J. Honda, H. Yamamoto\",\"doi\":\"10.1109/ISITA.2008.4895479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linear code linear programming (LCLP) proposed by Feldman is one of the promising methods to implement the lossy source coding process efficiently. In the encoding and decoding of a lossy source code constructed by sparse matrices, we propose auxiliary methods to obtain approximate optimal values in the case where the output of LCLP takes non-integer values. In a simulation, the proposed method attains smaller average distortions than the time-sharing bound.\",\"PeriodicalId\":338675,\"journal\":{\"name\":\"2008 International Symposium on Information Theory and Its Applications\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Information Theory and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITA.2008.4895479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Information Theory and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITA.2008.4895479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear code linear programming (LCLP) proposed by Feldman is one of the promising methods to implement the lossy source coding process efficiently. In the encoding and decoding of a lossy source code constructed by sparse matrices, we propose auxiliary methods to obtain approximate optimal values in the case where the output of LCLP takes non-integer values. In a simulation, the proposed method attains smaller average distortions than the time-sharing bound.
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