数据压缩的宏模型(扩展摘要)

J. Storer, T. G. Szymanski
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引用次数: 58

摘要

提出了一个通用的数据压缩模型,其中包括文献中大多数的数据压缩系统作为特例。所有宏方案都是基于查找冗余字符串或模式并用指向公共副本的指针替换它们的原则。不同种类的宏方案可以通过改变指针的解释来定义,例如,指针可以表示压缩字符串的子字符串,原始字符串的子字符串,或者其他字符串的子字符串,例如外部字典。其他类型的宏方案可以通过限制可能使用的重叠或递归类型来定义。讨论了不同种类的宏方案之间的权衡、可获得的压缩量的确切下界、编码和解码的复杂性,以及其他作者(如Lempel-Ziv)的工作与该模型的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The macro model for data compression (Extended Abstract)
A general model for data compression is presented which includes most data compression systems in the literature as special cases. All macro schemes are based on the principle of finding redundant strings or patterns and replacing them by pointers to a common copy. Different varieties of macro schemes may be defined by varying the interpretation of pointers, for instance, a pointer may indicate a substring of the compressed string, a substring of the original string, or a substring of some other string such as an external dictionary. Other varieties of macros schemes may be defined by restricting the type of overlapping or recursion that may be used. Trade-offs between different varieties of macro schemes, exact lower bounds on the amount of compression obtainable, and the complexity of encoding and decoding are discussed as well as how the work of other authors (such as Lempel-Ziv) relates to this model.
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