Asymptotic Optimal Lossless Compression via the CSE Technique

H. Yokoo
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引用次数: 15

Abstract

A novel loss less compression algorithm known as compression by sub string enumeration (CSE) is analyzed and modified. The CSE compression algorithm is a block-based, off-line method, as is the case with enumerative codes and the block-sorting compression scheme. First, we propose an encoding model that achieves asymptotic optimality for stationary ergodic sources. The codeword length attained by the proposed model converges almost surely to the entropy rate of a source when the length of a string generated by the source tends to infinity. Then, we propose a novel decoding algorithm that requires fewer code words than the original CSE.
基于CSE技术的渐近最优无损压缩
分析并改进了一种新的无损压缩算法——子串枚举压缩算法(CSE)。CSE的压缩算法是一种基于块的离线方法,就像枚举代码和块排序压缩方案一样。首先,我们提出了一种对平稳遍历源实现渐近最优的编码模型。当由源产生的字符串长度趋于无穷大时,该模型得到的码字长度几乎肯定收敛于源的熵率。然后,我们提出了一种新的译码算法,比原来的CSE需要更少的码字。
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