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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
Hans Becker, Frank Schmidt, et al.
Photomask and Next-Generation Lithography Mask Technology 2004
Sai Zeng, Angran Xiao, et al.
CAD Computer Aided Design
Joel L. Wolf, Mark S. Squillante, et al.
IEEE Transactions on Knowledge and Data Engineering
Khaled A.S. Abdel-Ghaffar
IEEE Trans. Inf. Theory