Arun Viswanathan, Nancy Feldman, et al.
IEEE Communications Magazine
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
Arun Viswanathan, Nancy Feldman, et al.
IEEE Communications Magazine
Kaoutar El Maghraoui, Gokul Kandiraju, et al.
WOSP/SIPEW 2010
Elliot Linzer, M. Vetterli
Computing
Yvonne Anne Pignolet, Stefan Schmid, et al.
Discrete Mathematics and Theoretical Computer Science