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Fast encoding algorithms for tree-structured vector quantization

机译:用于树状结构矢量量化的快速编码算法

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摘要

To overcome extensive compuatations of searching codewords in the encoding process of vector quanitization (VQ), several fast coding approaches has been proposed. As far as we know, the tree-structured search method is the fastest, in this paper, we further develop the encoding algorithm with fast search (EAWFS0 and encoding algorithm with fast comparison (EAWFC) to speed up the encoding process of tree-structured vector quantization (TSVQ). These two approaches are also applicable to pruned tree-structured vector quantization (PTSVQ).
机译:为了克服矢量量化(VQ)编码过程中搜索码字的大量计算,已经提出了几种快速编码方法。据我们所知,树形结构的搜索方法是最快的,本文将进一步开发快速搜索的编码算法(EAWFS0和快速比较的编码算法(EAWFC)),以加快树形结构的编码过程矢量量化(TSVQ)这两种方法也适用于修剪的树状结构矢量量化(PTSVQ)。

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