- freely available
A Unique Perspective on Data Coding and Decoding
AbstractThe 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.
Share & Cite This Article
Wang, W.-Y. A Unique Perspective on Data Coding and Decoding. Entropy 2011, 13, 53-63.View more citation formats
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.