| Efficient decoding of prefix codes |
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Communications of the ACM
archive
Volume 33 , Issue 4 (April 1990)
table of contents
Pages: 449 - 459
Year of Publication: 1990
ISSN:0001-0782
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| Bibliometrics |
Downloads (6 Weeks): 8, Downloads (12 Months): 96, Citation Count: 10
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ABSTRACT
A special case of the data compression problem is presented, in which a powerful encoder transmits a coded file to a decoder that has severely constrained memory. A data structure that achieves minimum storage is presented, and alternative methods that sacrifice a small amount of storage to attain faster decoding are described.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Choueka, Y., et al. Huffman coding without bit-manipulation. Tech. Rep. CS86-05, Weizmann In_stitute of Scien_ce, Dept. of Applied Mathematics, Rehovot, Israel, 1986.
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Connell, J. B, A Huffman-Shannon-Fano code. Proc. IEEE 61, 7 (July (1973), I046-1047.
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Hankamer, M. A modified Huffman procedure with reduced memory requirements. IEEE Trans. Commun. 27, 6 (June 1979), 930-932.
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Huffman, D. A. A method for the construction of minimum-redundancy codes. Proc. it~t: ,~u, u t~ept. 1952), 1098-1101.
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CITED BY 10
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Edleno Silva de Moura , Gonzalo Navarro , Nivio Ziviani , Ricardo Baeza-Yates, Fast searching on compressed text allowing errors, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.298-306, August 24-28, 1998, Melbourne, Australia
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REVIEW
"R. Nigel Horspool : Reviewer"
The authors consider the problem of decoding Huffman codes (or
prefix codes in general) using space-efficient data structures.
Considered as a practical exercise in choosing and adapting tree
structures to the needs of a particular problem, th
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