Gal Badishi, Idit Keidar, et al.
IEEE TDSC
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
Gal Badishi, Idit Keidar, et al.
IEEE TDSC
M.F. Cowlishaw
IBM Systems Journal
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Israel Cidon, Leonidas Georgiadis, et al.
IEEE/ACM Transactions on Networking