# arithmetic coding

(redirected from Arithmetic coder)

## arithmetic coding

[¦a·rith¦med·ik ′cōd·iŋ]
(communications)
A method of data compression in which a long character string is represented by a single number whose value is obtained by repeatedly partitioning the range of possible values in proportion to the probabilities of the characters.

## arithmetic coding

A statistical data compression method that converts strings of data into single floating point numbers between 0 and 1.
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References in periodicals archive ?
Q-coder [21] is an adaptive binary arithmetic coder.
Arps, An overview of the basic principle of the Q- coder adaptive binary arithmetic coder," IBM Journal of research and Development, 32(6): 717 (1988).
The architecture of SPIHT with arithmetic coder is suggested by Kai Liu, Evgeniy Belyaev and Jie Guo (2012).
Power analysis done on update blocks of arithmetic coder shows that power is 40mw when carry select adder (CSA) is used whereas it is 42 mw with existing system using carry look ahead adder.
VLSI architecture of arithmetic coder used in SPHIT.
One factor that helped arithmetic coding gain the popularity it enjoys today was the publication of source code for a multisymbol arithmetic coder by Witten et al.
In the remainder of this introduction we give a brief review of arithmetic coding, describe modeling in general, and word-based models in particular, and discuss the attributes that the arithmetic coder must embody if it is to be usefully coupled with a word-based model.
In an arithmetic coder the exact symbol probabilities are preserved, and so compression effectiveness is better, sometimes markedly so.
In detail, a statistics module used with an arithmetic coder must be able to report the cumulative frequency of all symbols earlier in the alphabet than a given symbol, and to record that this symbol has occurred one more time.
They also operate at between a half and a quarter of the speed of the adaptive arithmetic coder described here.
Invented by 1stWorks Chief Scientist Ratko Tomic, Quantized Indexing is the first practical form of data compression to apply the mathematical discipline of enumerative combinatorics to entropy coding and modeling, delivering demonstrably superior performance in both efficiency and speed over the best arithmetic coder alternatives currently available.
Better compression of texture by using secondary wavelet passes in high detail blocks -- Better compression of texture-type features by use of zerotree embedded vector codes -- Better compression overall by use of tuned arithmetic coders

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