Variable-to-fixed length codes and plurally parsable dictionaries

S. Savari
{"title":"Variable-to-fixed length codes and plurally parsable dictionaries","authors":"S. Savari","doi":"10.1109/DCC.1999.755695","DOIUrl":null,"url":null,"abstract":"The goal of lossless data compression is to map the set of strings from a given source into a set of binary code strings. A variable-to-fixed length encoding procedure is a mapping from a dictionary of variable length strings of source outputs to the set of codewords of a given length. For memoryless sources, the Tunstall procedure can be applied to construct optimal uniquely parsable dictionaries and the resulting codes are known to work especially well for sources with small entropies. We introduce the idea of plurally parsable dictionaries and show how to design plurally parsable dictionaries that can outperform the Tunstall dictionary of the same size on very predictable binary, memoryless sources.","PeriodicalId":103598,"journal":{"name":"Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1999.755695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

The goal of lossless data compression is to map the set of strings from a given source into a set of binary code strings. A variable-to-fixed length encoding procedure is a mapping from a dictionary of variable length strings of source outputs to the set of codewords of a given length. For memoryless sources, the Tunstall procedure can be applied to construct optimal uniquely parsable dictionaries and the resulting codes are known to work especially well for sources with small entropies. We introduce the idea of plurally parsable dictionaries and show how to design plurally parsable dictionaries that can outperform the Tunstall dictionary of the same size on very predictable binary, memoryless sources.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
可变到固定长度的代码和复数可解析的字典
无损数据压缩的目标是将来自给定源的一组字符串映射为一组二进制代码字符串。可变长度到固定长度的编码过程是从源输出的可变长度字符串的字典到给定长度的码字集的映射。对于无内存源,可以应用Tunstall过程来构造最优的唯一可解析字典,并且已知结果代码对于具有小熵的源特别有效。我们介绍了多元可解析字典的思想,并展示了如何设计多元可解析字典,它可以在非常可预测的二进制、无内存源上优于相同大小的Tunstall字典。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Real-time VBR rate control of MPEG video based upon lexicographic bit allocation Performance of quantizers on noisy channels using structured families of codes SICLIC: a simple inter-color lossless image coder Protein is incompressible Encoding time reduction in fractal image compression
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1