A Unique Perspective on Data Coding and Decoding

被引：0
|
作者：
Wang, Wen-Yan [1 ]
机构：
[1] Guangxi Normal Univ, Coll Elect Engn, Guilin 541004, Peoples R China
来源：
ENTROPY | 2011年 / 13卷 / 01期
基金：
美国国家科学基金会;
关键词：
loss-less compression; information theory; universal information;
D O I：
10.3390/e13010053
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The concept of a loss-less data compression coding method is proposed, and a detailed description of each of its steps follows. Using the Calgary Corpus and Wikipedia data as the experimental samples and compared with existing algorithms, like PAQ or PPMstr, the new coding method could not only compress the source data, but also further re-compress the data produced by the other compression algorithms. The final files are smaller, and by comparison with the original compression ratio, at least 1% redundancy could be eliminated. The new method is simple and easy to realize. Its theoretical foundation is currently under study. The corresponding Matlab source code is provided in the Appendix.
引用
收藏
页码：53 / 63
页数：11
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