Space- and time-efficient decoding with canonical huffman trees

被引:0
|
作者
Klein, ST [1 ]
机构
[1] Bar Ilan Univ, Dept Math & Comp Sci, IL-52900 Ramat Gan, Israel
关键词
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暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A new data structure is investigated, which allows fast decoding of texts encoded by canonical Huffman codes. The storage requirements axe much lower than for conventional Huffman trees, O(log(2) n) for trees of depth O(log n), and decoding is faster, because a part of the bit-comparisons necessary for the decoding may be saved. Empirical results on large real-life distributions show a reduction of up to 50% and more in the number of bit operations.
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收藏
页码:65 / 75
页数:11
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