Linear time adaptive arithmetic coding
β Scribed by Moffat, A.
- Book ID
- 111886872
- Publisher
- IEEE
- Year
- 1990
- Tongue
- English
- Weight
- 612 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0018-9448
- DOI
- 10.1109/18.52489
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π SIMILAR VOLUMES
In order to perform source coding (data compression), we treat messages emitted by independent and identically distributed sources as imprecise measurements (symbolic sequence) of a chaotic, ergodic, Lebesgue measure preserving, nonlinear dynamical system known as Generalized Luro Β¨th Series (GLS).
Arithmetic coding is an attractive technique for lossless data compression. The most important thing in arithmetic coding is to construct a good modeler that always provides accurate probability estimation for incoming data. However, the characteristics of various types of source data bear a lot of
The problem of finding the covering radius and minimum distance of algebraic and arithmetic codes is shown to be related to Waring's problem i n a finite field and to the theory of cyclotomic numbers. The methods devel oped l ead to new results for the covering radius of certain f-errorcorrecting BC