The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
An Introduction to Arithmetic Coding
Abstract
Arithmetic coding is a data compression technique that encodes data (the data string) by creating a code string which represents a fractional value on the number line between 0 and 1. The coding algorithm is symbolwise recursive; i.e., it operates upon and encodes (decodes) one data symbol per iteration or recursion. On each recursion, the algorithm successively partitions an interval of the number line between 0 and 1, and retains one of the partitions as the new interval. Thus, the algorithm successively deals with smaller intervals, and the code string, viewed as a magnitude, lies in each of the nested intervals. The data string is recovered by using magnitude comparisons on the code string to recreate how the encoder must have successively partitioned and retained each nested subinterval. Arithmetic coding differs considerably from the more familiar compression coding techniques, such as prefix (Huffman) codes. Also, it should not be confused with error control coding, whose object is to detect and correct errors in computer operations. This paper presents the key notions of arithmetic compression coding by means of simple examples.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Information Theory and Coding.
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Self-citationGeneralized Kraft Inequality and Arithmetic Coding
Rissanen, J. J. (1976) · IBM Journal of Research and Development · doi:10.1147/rd.203.0198 · Cited by 510
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Rissanen, J., & Langdon, G. (1981) · IEEE Transactions on Information Theory · doi:10.1109/tit.1981.1056282 · Cited by 454
Self-citationVariable-Length Binary Encodings
Gilbert, E. N., & Moore, E. F. (1959) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1959.tb01583.x · Cited by 354
Source coding algorithms for fast data compression
Pasco, R. C. (1976) · Cited by 191
A general minimum-redundancy source-coding algorithm
Guazzo, M. (1980) · IEEE Transactions on Information Theory · doi:10.1109/tit.1980.1056143 · Cited by 59
Cited by
Bell, T., Witten, I. H., & Cleary, J. G. (1989) · ACM Computing Surveys · doi:10.1145/76894.76896 · Cited by 261
ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs
Yang, J., Wu, J., Liu, Z., Ma, X., Zhao, H., Gu, Y., Huang, Y., Liu, X., Huang, W., Wei, Z., et al. (2026) · 2026 ACM/IEEE 53rd Annual International Symposium on Computer Architecture (ISCA) · doi:10.1109/isca66397.2026.00100
Metadata
- Authors
- Langdon, G. G.
- Venue
- IBM Journal of Research and Development
- Publisher
- IBM
- Published
- 1984-03
- Volume
- 28
- Issue
- 2
- Pages
- 135-149
- ISSN
- 0018-8646 (ISSN-L)
- OpenAlex
- W2107927941
- Cited by
- 527
- References
- 9
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
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