DocumentCode :
3410123
Title :
Sort order preserving data compression for extended alphabets
Author :
Zandi, Ahmad ; Iyer, Bala ; Langdon, Glen
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
fYear :
1993
fDate :
1993
Firstpage :
330
Lastpage :
339
Abstract :
The compression method is based on composing phrases from symbols. The authors extend the sort-order property to parsing models, i.e. to Variable-to-Fixed Length codes, or a static Ziv-Lempel algorithm, or alternatively a Tunstall algorithm for an adjoint source. The parsed phrases comprising the original storage data units have the same position in the sort ordering as the original units themselves. The VFL result may be further compressed by use of Variable-to-Variable Length techniques based on the relative frequencies of the parsed phrases. The sort-order property is facilitated by an `end of record´ symbol and requires a new zilch symbol
Keywords :
data compression; grammars; sorting; Tunstall algorithm; Variable-to-Fixed Length codes; Variable-to-Variable Length techniques; data compression; extended alphabets; parsing models; sort-order property; static Ziv-Lempel algorithm; storage data units; zilch symbol; Application software; Arithmetic; Data compression; Database systems; Decoding; Encoding; Frequency; Uninterruptible power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1993. DCC '93.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-3392-1
Type :
conf
DOI :
10.1109/DCC.1993.253116
Filename :
253116
Link To Document :
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