Indranil R. Bardhan, Sugato Bagchi, et al.
JMIS
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
Indranil R. Bardhan, Sugato Bagchi, et al.
JMIS
Frank R. Libsch, Takatoshi Tsujimura
Active Matrix Liquid Crystal Displays Technology and Applications 1997
Rajiv Ramaswami, Kumar N. Sivarajan
IEEE/ACM Transactions on Networking
Fan Zhang, Junwei Cao, et al.
IEEE TETC