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Quasi-distinct Parsing and Optimal Compression Methods

机译:准区别解析与最佳压缩方法

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摘要

In this paper, the optimality proof of Lempel-Ziv coding is re-studied, and a much more general compression optimality theorem is derived. In particular, the property of quasi-distinct parsing is defined. This property is much weaker than distinct parsing required in the original proof, yet we show that the theorem holds with this weaker property as well. This provides a better understanding of the optimality proof of Lempel-Ziv coding, together with a new tool for proving optimality of other compression schemes. To demonstrate the possible use of this generalization, a new coding method - the APT coding - is presented. This new coding method is based on a principle that is very different from Lempel-Ziv's coding. Moreover, it does not directly define any parsing technique. Nevertheless, APT coding is analyzed in this paper and using the generalized theorem shown to be asymptotically optimal up to a constant factor, if APT quasi-distinctness hypothesis holds. An empirical evidence that this hypothesis holds is also given.
机译:在本文中,重新研究了Lempel-Ziv编码的最优性证明,并得出了更为通用的压缩最优性定理。特别地,定义了准区别解析的属性。此属性比原始证明中要求的独特解析要弱得多,但是我们证明该定理也适用于该较弱的属性。这提供了对Lempel-Ziv编码的最优性证明的更好理解,以及用于证明其他压缩方案的最优性的新工具。为了演示这种概括的可能用途,提出了一种新的编码方法-APT编码。这种新的编码方法基于与Lempel-Ziv的编码非常不同的原理。而且,它没有直接定义任何解析技术。尽管如此,本文仍然对APT编码进行了分析,并且使用了广义定理,如果APT准相似性假设成立,则该定理在不超过常数因子的情况下是渐近最优的。还给出了该假设成立的经验证据。

著录项

  • 来源
    《Combinatorial pattern matching》|2009年|12-25|共14页
  • 会议地点 Lille(FR);Lille(FR);Lille(FR)
  • 作者单位

    Department of Computer Science, Bar Ilan University, Ramat Gan 52900, Israel Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218;

    Department of Computer Science, Bar Ilan University, Ramat Gan 52900, Israel;

    Shenkar College, Anna Frank 12, Ramat Gan 52526, Israel CRI, Haifa University, Mount Carmel, Haifa 31905, Israel;

    Shenkar College, Anna Frank 12, Ramat Gan 52526, Israel;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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