{"title":"有损源编码的通用性和收敛率","authors":"T. Linder, G. Lugosi, K. Zeger","doi":"10.1109/DCC.1993.253141","DOIUrl":null,"url":null,"abstract":"The authors show that without knowing anything about the statistics of a bounded real-valued memoryless source, it is possible to construct a sequence of codes, of rate not exceeding a fixed number R>0, such that the per-letter sample distortion converges to the distortion-rate function D(R) with probability one as the length of the message approaches infinity. It is proven that the distortion converges to D(R) as square root log log n/log n almost surely, where n is the length of the data to be transmitted.<<ETX>>","PeriodicalId":315077,"journal":{"name":"[Proceedings] DCC `93: Data Compression Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Universality and rates of convergence in lossy source coding\",\"authors\":\"T. Linder, G. Lugosi, K. Zeger\",\"doi\":\"10.1109/DCC.1993.253141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors show that without knowing anything about the statistics of a bounded real-valued memoryless source, it is possible to construct a sequence of codes, of rate not exceeding a fixed number R>0, such that the per-letter sample distortion converges to the distortion-rate function D(R) with probability one as the length of the message approaches infinity. It is proven that the distortion converges to D(R) as square root log log n/log n almost surely, where n is the length of the data to be transmitted.<<ETX>>\",\"PeriodicalId\":315077,\"journal\":{\"name\":\"[Proceedings] DCC `93: Data Compression Conference\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] DCC `93: Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1993.253141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] DCC `93: Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1993.253141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Universality and rates of convergence in lossy source coding
The authors show that without knowing anything about the statistics of a bounded real-valued memoryless source, it is possible to construct a sequence of codes, of rate not exceeding a fixed number R>0, such that the per-letter sample distortion converges to the distortion-rate function D(R) with probability one as the length of the message approaches infinity. It is proven that the distortion converges to D(R) as square root log log n/log n almost surely, where n is the length of the data to be transmitted.<>