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IEEE Transactions on Communications
Article . 1995 . Peer-reviewed
License: IEEE Copyright
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Efficient multiplication-free arithmetic codes

Authors: Shawmin Lei;

Efficient multiplication-free arithmetic codes

Abstract

Summary: Arithmetic coding is a powerful lossless data compression technique that has attracted much attention in recent years. It provides more flexibility and better efficiency than Huffman coding does. However, the multiplications needed in its encoding and decoding algorithms are very undesirable. \textit{J. Rissanen} and \textit{K. M. Mohiuddin} [IEEE Trans. Commun. 37, 93-98 (1989)] have proposed a simple scheme to avoid the multiplications. We found that the performance of their proposed scheme might degrade significantly in some cases. In this paper, we propose a multiplication-free multialphabet arithmetic code which can be shown to have minor performance degradation in all cases. In our proposed scheme, each multiplication is replaced by a single shift-and-add. We will prove, by both theoretical analysis and simulation results, that the degradation of the proposed multiplication-free scheme is always several times (2-7 times in our experiments) smaller than that of the Rissanen-Mohiuddin's scheme.

Keywords

arithmetic coding, lossless data compression, Coding theorems (Shannon theory), Source coding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
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