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Universal data compression based on the Burrows-Wheeler transformation: theory and practice

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2 Author(s)
Balkenhol, B. ; Fakultat fur Math., Bielefeld Univ., Germany ; Kurtz, S.

A very interesting recent development in data compression is the Burrows-Wheeler Transformation. The idea is to permute the input sequence in such a way that characters with a similar context are grouped together. We provide a thorough analysis of the Burrows-Wheeler Transformation from an information theoretic point of view. Based on this analysis, the main part of the paper systematically considers techniques to efficiently implement a practical data compression program based on the transformation. We show that our program achieves a better compression rate than other programs that have similar requirements in space and time

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Computers, IEEE Transactions on  (Volume:49 ,  Issue: 10 )