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

A Unique Perspective on Data Coding and Decoding

Received: 25 November 2010; in revised form: 17 December 2010 / Accepted: 18 December 2010 / Published: 27 December 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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
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MDPI and ACS Style

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

AMA Style

Wang W-Y. A Unique Perspective on Data Coding and Decoding. Entropy. 2011; 13(1):53-63.

Chicago/Turabian Style

Wang, Wen-Yan. 2011. "A Unique Perspective on Data Coding and Decoding." Entropy 13, no. 1: 53-63.

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