DocumentCode :
2295021
Title :
Dense coding-a fast alternative to arithmetic coding
Author :
Gräf, Ulrich
Author_Institution :
Inst. of Theor. Comput. Sci., Tech. Hochschule Darmstadt, Germany
fYear :
1997
fDate :
11-13 Jun 1997
Firstpage :
295
Lastpage :
304
Abstract :
With dense coding a new method for minimum redundancy coding is introduced. An analysis of arithmetic coding shows, that it is essentially identical to an encoding of discrete intervals. Interval coding is introduced, which encodes symbols directly by encoding the corresponding discrete intervals. Dense coding is an enhanced variant of interval coding, where redundancies are mostly removed with a new technique called conditional coding. Conditional coding is at most 0.086071... bits per encoding step (0.057304... bits in average) longer than optimal encoding. Dense coding uses conditional coding twice and is therefore 0.114608... bits per encoding step worse than the theoretical limit (unlimited precision arithmetic coding). Dense coding is a lot faster than arithmetic coding or Huffman coding and achieves nearly the same compact code as arithmetic coding
Keywords :
arithmetic codes; decoding; Huffman coding; arithmetic coding; conditional coding; data compression; decoding; dense coding; discrete interval encoding; minimum redundancy coding; optimal encoding; Arithmetic; Character recognition; Computer science; Data compression; Decoding; Dictionaries; Encoding; Huffman coding; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Compression and Complexity of Sequences 1997. Proceedings
Conference_Location :
Salerno
Print_ISBN :
0-8186-8132-2
Type :
conf
DOI :
10.1109/SEQUEN.1997.666924
Filename :
666924
Link To Document :
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