DocumentCode :
936270
Title :
Minimax noiseless universal coding for Markov sources
Author :
Davisson, Lee D.
Volume :
29
Issue :
2
fYear :
1983
fDate :
3/1/1983 12:00:00 AM
Firstpage :
211
Lastpage :
215
Abstract :
Upper and lower bounds are presented on the minimax redundancy for Markov source noiseless block-to-variable universal coding. The number of states, block size, and Markov order are arbitrary but finite. Unlike earlier results, the upper and lower bounds are absolute, that is, not merely asymptotic. The upper bound is established by combinatorial bounds. The lower bound is established by a bound on the average redundancy for an arbitrary distribution on the transition probabilities. The bound can be optimized across the choice of distribution.
Keywords :
Markov processes; Minimax optimization; Source coding; Entropy; Information theory; Minimax techniques; Random variables; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1983.1056652
Filename :
1056652
Link To Document :
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