与塞子压缩匹配的字符串

J. Rautio, Jani Tanninen, J. Tarhio
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引用次数: 4

摘要

只提供摘要形式。我们考虑在压缩文本中进行字符串搜索。我们利用一种与静态霍夫曼压缩相关的压缩方法。字符被编码为由固定位数组成的可变长度基符号序列。因为代码作为基符号的长度是不同的,所以我们将基符号分为止点和连续点,以便能够识别新的代码从哪里开始。塞子只能用作代码的最后一个基本符号。所有其他基符号都是连续符号,可以在任何地方使用,但不能作为代码的最后一个基符号。我们的搜索算法是Boyer-Moore-Horspool算法的一种变体。移位函数基于几个基本符号,以实现比普通启发式更长的跳跃。如果基符号使用4位,则移位计算使用8位的字节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
String matching with stopper compression
Summary form only given. We consider string searching in compressed texts. We utilize a compression method related to static Huffman compression. Characters are encoded as variable length sequences of base symbols, which consist of a fixed number of bits. Because the length of a code as base symbols varies, we divide base symbols into stoppers and continuers in order to be able to recognize where a new code starts. Stoppers can only be used as the last base symbol of a code. All other base symbols are continuers which can be used anywhere but as the last base symbol of a code. Our searching algorithm is a variation of the Boyer-Moore-Horspool algorithm. The shift function is based on several base symbols in order to achieve longer jumps than the ordinary occurrence heuristic. If four bits are used for base symbols, we apply bytes of eight bits for shift calculation.
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