DocumentCode :
937199
Title :
A universal data compression system
Author :
Rissanen, Jorma
Volume :
29
Issue :
5
fYear :
1983
fDate :
9/1/1983 12:00:00 AM
Firstpage :
656
Lastpage :
664
Abstract :
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.
Keywords :
Source coding; Context modeling; Costs; Data compression; Encoding; Helium; Image coding; Image segmentation; Partitioning algorithms; Power generation; Statistics;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1983.1056741
Filename :
1056741
Link To Document :
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