Title :
Universal lossless source coding with the Burrows Wheeler transform
Author :
Effros, Michelle
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Abstract :
We here consider a theoretical evaluation of data compression algorithms based on the Burrows Wheeler transform (BWT). The main contributions include a variety of very simple new techniques for BWT-based universal lossless source coding on finite-memory sources and a set of new rate of convergence results for BWT-based source codes. The result is a theoretical validation and quantification of the earlier experimental observation that BWT-based lossless source codes give performance better than that of Ziv-Lempel-style codes and almost as good as that of prediction by partial mapping (PPM) algorithms
Keywords :
convergence of numerical methods; source coding; transforms; Burrows Wheeler transform; convergence; data compression; finite-memory sources; performance; universal lossless source coding; Algorithm design and analysis; Compression algorithms; Convergence; Data compression; Educational programs; Educational technology; Engineering profession; Performance analysis; Performance loss; Source coding;
Conference_Titel :
Data Compression Conference, 1999. Proceedings. DCC '99
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-0096-X
DOI :
10.1109/DCC.1999.755667
