Robert Manson Sawko, Malgorzata Zimon
SIAM/ASA JUQ
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.
Robert Manson Sawko, Malgorzata Zimon
SIAM/ASA JUQ
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
Zhihua Xiong, Yixin Xu, et al.
International Journal of Modelling, Identification and Control
Matthew A Grayson
Journal of Complexity