{"title":"使用Lempel-Ziv-Welch类型方法的无损数据压缩算法的比较","authors":"A.T. Murgan, R. Radescu","doi":"10.1109/WITS.1994.513932","DOIUrl":null,"url":null,"abstract":"Lempel-Ziv-Welch methods and their variations are all based on the principle of using a prescribed parsing rule to find duplicate occurrences of data and encoding the repeated strings with some sort of special code word identifying the data to be replaced. This paper includes a general presentation of five existing lossless compression methods used in any application of digital signal processing. The comparisons are made experimentally by computer simulation.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A comparison of algorithms for lossless data compression using the Lempel-Ziv-Welch type methods\",\"authors\":\"A.T. Murgan, R. Radescu\",\"doi\":\"10.1109/WITS.1994.513932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lempel-Ziv-Welch methods and their variations are all based on the principle of using a prescribed parsing rule to find duplicate occurrences of data and encoding the repeated strings with some sort of special code word identifying the data to be replaced. This paper includes a general presentation of five existing lossless compression methods used in any application of digital signal processing. The comparisons are made experimentally by computer simulation.\",\"PeriodicalId\":423518,\"journal\":{\"name\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITS.1994.513932\",\"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 of 1994 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of algorithms for lossless data compression using the Lempel-Ziv-Welch type methods
Lempel-Ziv-Welch methods and their variations are all based on the principle of using a prescribed parsing rule to find duplicate occurrences of data and encoding the repeated strings with some sort of special code word identifying the data to be replaced. This paper includes a general presentation of five existing lossless compression methods used in any application of digital signal processing. The comparisons are made experimentally by computer simulation.
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