Liat Ein-Dor, Y. Goldschmidt, et al.
IBM J. Res. Dev
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
Liat Ein-Dor, Y. Goldschmidt, et al.
IBM J. Res. Dev
Frank R. Libsch, S.C. Lien
IBM J. Res. Dev
M.J. Slattery, Joan L. Mitchell
IBM J. Res. Dev
Gal Badishi, Idit Keidar, et al.
IEEE TDSC