Laxmi Parida, Pier F. Palamara, et al.
BMC Bioinformatics
The Burrows-Wheeler transform is a block-sorting algorithm which has been shown empirically to be useful in compressing text data. In this paper we study the output distribution of the transform for i.i.d. sources, tree sources and stationary ergodic sources. We can also give analytic bounds on the performance of some universal compression schemes which use the Burrows-Wheeler transform.
Laxmi Parida, Pier F. Palamara, et al.
BMC Bioinformatics
Juliann Opitz, Robert D. Allen, et al.
Microlithography 1998
Charles A Micchelli
Journal of Approximation Theory
R.B. Morris, Y. Tsuji, et al.
International Journal for Numerical Methods in Engineering