Universal coding algorithm for a family of context Markov sources

Universal coding algorithm for a family of context Markov sources Often, for a source to be encoded it is only known (or assumed) that its model belongs to some known family; parameters of models are unknown. The number of context Markov models in a family can be enormous, and methods for finding the best of them to describe a current block (message fragment of length n) have not been discussed previously. We propose a way to solve this problem and describe a coding algorithm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Problems of Information Transmission Springer Journals

Universal coding algorithm for a family of context Markov sources

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Publisher
Pleiades Publishing
Copyright
Copyright © 2014 by Pleiades Publishing, Inc.
Subject
Engineering; Communications Engineering, Networks; Electrical Engineering; Information Storage and Retrieval; Systems Theory, Control
ISSN
0032-9460
eISSN
1608-3253
D.O.I.
10.1134/S0032946014030077
Publisher site
See Article on Publisher Site

Abstract

Often, for a source to be encoded it is only known (or assumed) that its model belongs to some known family; parameters of models are unknown. The number of context Markov models in a family can be enormous, and methods for finding the best of them to describe a current block (message fragment of length n) have not been discussed previously. We propose a way to solve this problem and describe a coding algorithm.

Journal

Problems of Information TransmissionSpringer Journals

Published: Oct 16, 2014

References

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