DocumentCode :
1594550
Title :
Low-Memory Adaptive Prefix Coding
Author :
Gagie, Travis ; Karpinski, Michal ; Nekrich, Yakov
Author_Institution :
Dept. of Comput. Sci., Univ. of Eastern Piedmont, Vercelli
fYear :
2009
Firstpage :
13
Lastpage :
22
Abstract :
In this paper we study the adaptive prefix coding problem in cases where the size of the input alphabet is large. We present an online prefix coding algorithm that uses O(sigma1/lambda+epsiv) bits of space for any constants epsiv > 0, > 1, and encodes the string of symbols in O(loglog sigma) time per symbol in the worst case, where sigma is the size of the alphabet. The upper bound on the encoding length is lambdanH(s) + (lambda/ ln 2 + 2 + epsiv)n + O(sigma1/lambda log2 sigma) bits.
Keywords :
adaptive codes; computational complexity; computational complexity; low-memory adaptive prefix coding; online prefix coding algorithm; Arithmetic; Cache memory; Code standards; Computer science; Data compression; Decoding; Encoding; Huffman coding; Mobile computing; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2009. DCC '09.
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
978-1-4244-3753-5
Type :
conf
DOI :
10.1109/DCC.2009.61
Filename :
4976445
Link To Document :
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