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arXiv 1508.07563cs.ITmath.IT
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唯一可解一对一码的分析与实践

Analysis and Practice of Uniquely Decodable One-to-One Code

Chin-Fu Liu, Hsiao-feng Lu, Po-ning Chen

摘要:

在本文中,我们考虑了所谓的唯一可解码的一对一码(UDOOC),这是通过插入一个“逗号”的指示符,称为唯一字(UW),连续的一对一的码字之间的分离。沿着这个研究方向,我们首先研究了UDOOC的几个一般组合性质,特别是对于任何(有限)码字长度的UDOOC码字的数量的枚举。基于所获得的关于给定UW的长度为n的码字的数量的公式,可以计算用于给定源统计的最佳压缩的UDOOC的每个字母的平均码字长度。接下来建立这种UDOOC的平均码字长度的若干上界。对平均码字长度的界的分析,然后导致两个渐近界的源具有无穷多个字母,其中一个是可实现的,因此紧对于一定的源统计和UW,和另一个证明了源熵率的可扩展性的UDOOC压缩的源字母的块大小和UW长度都趋于无穷大。文中还给出了有效的UDOOC编解码算法。数值结果表明,在相似的译码复杂度下,UDOOC具有与Huffman码相当的压缩率,且平均码字长度小于Lempel-Ziv码,从而验证了UDOOC的实用性.

英文摘要:

In this paper, we consider the so-called uniquely decodable one-to-one code (UDOOC) that is formed by inserting a "comma" indicator, termed the unique word (UW), between consecutive one-to-one codewords for separation. Along this research direction, we first investigate several general combinatorial properties of UDOOCs, in particular the enumeration of the number of UDOOC codewords for any (finite) codeword length. Based on the obtained formula on the number of length-n codewords for a given UW, the per-letter average codeword length of UDOOC for the optimal compression of a given source statistics can be computed. Several upper bounds on the average codeword length of such UDOOCs are next established. The analysis on the bounds of average codeword length then leads to two asymptotic bounds for sources having infinitely many alphabets, one of which is achievable and hence tight for a certain source statistics and UW, and the other of which proves the achievability of source entropy rate of UDOOCs when both the block size of source letters for UDOOC compression and UW length go to infinity. Efficient encoding and decoding algorithms for UDOOCs are also given in this paper. Numerical results show that the proposed UDOOCs can potentially result in comparable compression rate to the Huffman code under similar decoding complexity and yield a smaller average codeword length than that of the Lempel-Ziv code, thereby confirming the practicability of UDOOCs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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