DocumentCode
1559185
Title
Source encoding using syntactic information source models
Author
Cameron, Robert D.
Author_Institution
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Volume
34
Issue
4
fYear
1988
fDate
7/1/1988 12:00:00 AM
Firstpage
843
Lastpage
850
Abstract
The use of syntactic information source models for the source encoding (data compression) of messages is described. Syntactic models formulated using context-free grammars augmented with derivation step probabilities are considered. Using an arithmetic coder as the low-level encoding unit, it is shown how practical encoding systems can be constructed from such models. Application of the techniques to the encoding of syntactically correct Pascal computer programs is described, and additional techniques including the use of symbol tables are introduced. The resultant syntactic encoders achieve compression of Pascal programs approaching 90%
Keywords
context-free grammars; data compression; encoding; program compilers; Pascal computer programs; arithmetic coder; context-free grammars; data compression; derivation step probabilities; source encoding; symbol tables; syntactic information source models; Application software; Arithmetic; Context modeling; Councils; Data compression; Encoding; History; Markov processes; Power engineering and energy; Power engineering computing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.9782
Filename
9782
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