DocumentCode :
2685010
Title :
Variable-to-fixed length codes and plurally parsable dictionaries
Author :
Savari, Serap A.
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
fYear :
1999
fDate :
29-31 Mar 1999
Firstpage :
453
Lastpage :
462
Abstract :
The goal of lossless data compression is to map the set of strings from a given source into a set of binary code strings. A variable-to-fixed length encoding procedure is a mapping from a dictionary of variable length strings of source outputs to the set of codewords of a given length. For memoryless sources, the Tunstall procedure can be applied to construct optimal uniquely parsable dictionaries and the resulting codes are known to work especially well for sources with small entropies. We introduce the idea of plurally parsable dictionaries and show how to design plurally parsable dictionaries that can outperform the Tunstall dictionary of the same size on very predictable binary, memoryless sources
Keywords :
binary codes; entropy; memoryless systems; optimisation; source coding; variable length codes; binary code; binary memoryless sources; dictionary mapping; entropies; lossless data compression; optimal dictionaries; plurally parsable dictionaries; variable length strings; variable-to-fixed length codes; Binary codes; Code standards; Data compression; Dictionaries; Encoding; Entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1999. Proceedings. DCC '99
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-7695-0096-X
Type :
conf
DOI :
10.1109/DCC.1999.755695
Filename :
755695
Link To Document :
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