DocumentCode :
2916873
Title :
Length-restricted coding using modified probability distributions
Author :
Liddell, Mike ; Moffat, Alistair
Author_Institution :
Dept. of Comput. Sci., Melbourne Univ., Vic., Australia
fYear :
2001
fDate :
2001
Firstpage :
117
Lastpage :
124
Abstract :
The use of data compression has long been a central part of text databases and fast communication protocols. In many contexts, effective compression techniques use a minimum-redundancy prefix code. However, if the length of a codeword exceeds the machine word size, the decoding routines must be altered and lose efficiency. To avoid these complications, it is desirable to produce a prefix code with the constraint that no codeword should be longer than some constant. L.L. Larmore and D.S. Hirschberg´s (1990) package-merge algorithm is a well-known method for producing minimum-redundancy length-restricted prefix codes, although other methods exist. In this paper, we present an alternative method for length-restricted coding which calculates an approximate code, rather than an optimal code, but which can be implemented to operate in linear time. This approach also has applications to non-length-restricted coding
Keywords :
computational complexity; decoding; full-text databases; merging; probability; protocols; redundancy; runlength codes; source coding; approximate code; communication protocols; data compression; decoding routines; efficiency; length-restricted coding; linear time complexity; machine word size; minimum-redundancy prefix code; modified probability distributions; package-merge algorithm; prefix code; text databases; Arithmetic; Computer science; Context; Data compression; Databases; Decoding; Packaging machines; Protocols; Software engineering; Table lookup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science Conference, 2001. ACSC 2001. Proceedings. 24th Australasian
Conference_Location :
Gold Coast, Qld.
ISSN :
1530-0900
Print_ISBN :
0-7695-0963-0
Type :
conf
DOI :
10.1109/ACSC.2001.906631
Filename :
906631
Link To Document :
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