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Universal Tree Source Coding Using Grammar-Based Compression.

Authors :
Ganardi, Moses
Hucke, Danny
Lohrey, Markus
Seelbach Benkner, Louisa
Source :
IEEE Transactions on Information Theory. Oct2019, Vol. 65 Issue 10, p6399-6413. 15p.
Publication Year :
2019

Abstract

The problem of universal source coding for binary trees is considered. Zhang, Yang, and Kieffer derived upper bounds on the average-case redundancy of codes based on directed acyclic graph (DAG) compression for binary tree sources with certain properties. In this paper, a natural class of binary tree sources is presented such that the demanded properties are fulfilled. Moreover, for both subclasses considered in the paper of Zhang, Yang, and Kieffer, their result is improved by deriving bounds on the maximal pointwise redundancy (or worst-case redundancy) instead of the average-case redundancy. Finally, using context-free tree grammars instead of DAGs, upper bounds on the maximal pointwise redundancy for certain binary tree sources are derived. This yields universal codes for new classes of binary tree sources. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189448
Volume :
65
Issue :
10
Database :
Academic Search Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
138733203
Full Text :
https://doi.org/10.1109/TIT.2019.2919829