通过源的“对称化”改进了尝试的行为

Y. Reznik, W. Szpankowski
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引用次数: 2

摘要

本文提出并研究了一种预处理技术,以提高非对称无内存源下基于数字树(trie)的搜索算法的性能。这种技术(我们称之为源的对称)将原始(非对称)源的符号序列双客观地映射到输出字母表的符号序列,从而产生更均匀的分布。我们引入了这种映射的效率准则,并证明了为给定源(或通用)对称变换寻找最佳结构的问题等价于为该源(或源类)构造最小冗余变长到块代码的问题。基于这一结果,我们提出了包含已知(对于给定源和通用的最优)变长到块代码的搜索算法,并研究了它们的渐近行为。我们通过描述一种有效的二进制无内存源的通用对称算法来补充我们的分析,并将结果搜索结构的性能与标准尝试进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved behaviour of tries by the "symmetrization" of the source
In this paper, we propose and study a pre-processing technique for improving performance of digital tree (trie)-based search algorithms under asymmetric memoryless sources. This technique (which we call a symmetrization of the source) bijectively maps the sequences of symbols from the original (asymmetric) source into symbols of an output alphabet resulting in a more uniform distribution. We introduce a criterion of efficiency for such a mapping, and demonstrate that a problem of finding an optimal construction for a given source (or universal) symmetrization transform is equivalent to a problem of constructing a minimum redundancy variable-length-to-block code for this source (or class of sources). Based on this result, we propose search algorithms that incorporate known (optimal for a given source and universal) variable-length-to-block codes and study their asymptotic behaviour. We complement our analysis with a description of an efficient algorithm for universal symmetrization of binary memoryless sources, and compare the performance of the resulting search structure with the standard tries.
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