{"title":"Lempel-Ziv-Welch码的冗余","authors":"S. Savari","doi":"10.1109/DCC.1997.582011","DOIUrl":null,"url":null,"abstract":"The Lempel-Ziv codes are universal variable-to-fixed length codes that have become virtually standard in practical lossless data compression. For any given source output string from a Markov of unifilar source, we upper bound the difference between the number of binary digits needed by the Lempel-Ziv-Welch code (1977, 1978, 1984) to encode the string and the self-information of the string. We use this result to demonstrate that for unifilar, Markov sources, the redundancy of encoding the first n letters of the source output with LZW is O((ln n)/sup -1/), and we upper bound the exact form of convergence.","PeriodicalId":403990,"journal":{"name":"Proceedings DCC '97. Data Compression Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Redundancy of the Lempel-Ziv-Welch code\",\"authors\":\"S. Savari\",\"doi\":\"10.1109/DCC.1997.582011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Lempel-Ziv codes are universal variable-to-fixed length codes that have become virtually standard in practical lossless data compression. For any given source output string from a Markov of unifilar source, we upper bound the difference between the number of binary digits needed by the Lempel-Ziv-Welch code (1977, 1978, 1984) to encode the string and the self-information of the string. We use this result to demonstrate that for unifilar, Markov sources, the redundancy of encoding the first n letters of the source output with LZW is O((ln n)/sup -1/), and we upper bound the exact form of convergence.\",\"PeriodicalId\":403990,\"journal\":{\"name\":\"Proceedings DCC '97. Data Compression Conference\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings DCC '97. Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1997.582011\",\"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 '97. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1997.582011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Lempel-Ziv codes are universal variable-to-fixed length codes that have become virtually standard in practical lossless data compression. For any given source output string from a Markov of unifilar source, we upper bound the difference between the number of binary digits needed by the Lempel-Ziv-Welch code (1977, 1978, 1984) to encode the string and the self-information of the string. We use this result to demonstrate that for unifilar, Markov sources, the redundancy of encoding the first n letters of the source output with LZW is O((ln n)/sup -1/), and we upper bound the exact form of convergence.