Leo Liberti, James Ostrowski
Journal of Global Optimization
A universal data compression algorithm is described which is capable of compressing long strings generated by a “finitely generated” source, with a near optimum per symbol length without prior knowledge of the source. This class of sources may be viewed as a generalization of Markov sources to random fields. Moreover, the algorithm does not require a working storage much larger than that needed to describe the source generating parameters. © 1983 IEEE
Leo Liberti, James Ostrowski
Journal of Global Optimization
S.M. Sadjadi, S. Chen, et al.
TAPIA 2009
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering