Khaled A.S. Abdel-Ghaffar
IEEE Trans. Inf. Theory
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
Khaled A.S. Abdel-Ghaffar
IEEE Trans. Inf. Theory
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Yvonne Anne Pignolet, Stefan Schmid, et al.
Discrete Mathematics and Theoretical Computer Science