Charles H. Bennett, Aram W. Harrow, et al.
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
Charles H. Bennett, Aram W. Harrow, et al.
IEEE Trans. Inf. Theory
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ASP-DAC 2008
Eric Price, David P. Woodruff
FOCS 2011
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003