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Entropy 2011, 13(1), 53-63; doi:10.3390/e13010053

A Unique Perspective on Data Coding and Decoding

College of Electronic Engineering, Guangxi Normal University, Yucai Road 15, Guilin 541004, China
Received: 25 November 2010 / Revised: 17 December 2010 / Accepted: 18 December 2010 / Published: 27 December 2010
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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.
Keywords: loss-less compression; information theory; universal information loss-less compression; information theory; universal information
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wang, W.-Y. A Unique Perspective on Data Coding and Decoding. Entropy 2011, 13, 53-63.

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