首页> 外文期刊>IEICE Transactions on fundamentals of electronics, communications & computer sciences >Universal variable-to-fixed length codes achieving optimum large deviations performance for empirical compression ratio
【24h】

Universal variable-to-fixed length codes achieving optimum large deviations performance for empirical compression ratio

机译:通用可变到固定长度代码,实现经验压缩比的最佳大偏差性能

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This paper clarifies two variable-to-fixed length codes whichachieve optimum large deviations performance of empirical compressionratio. One is Lempel-Zir code with fixed number of phrases, and theother is an arithmetic code with fixed codeword length. It is shownthat Lempel-Ziv code is asymtot- ically optimum in the above sense,for the class of finite-alphabet and finite-state source, and that hearithmetic code is asymp- totically optimum for the class offinite-alphabet unifilar sources.
机译:本文阐明了两种变定长度代码,它们实现了经验压缩比的最佳大偏差性能。一种是具有固定短语数的 Lempel-Zir 码,另一种是具有固定码字长度的算术码。结果表明,在上述意义上,Lempel-Ziv码对于有限字母源和有限状态源类是渐近最优的,而听觉码对于类的异常字母单线源是渐近最优的。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号