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
Link To Document :
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