DocumentCode
1985870
Title
Efficient algorithm of low-entropy Markov source coding
Author
Bakulina, M.P.
Author_Institution
ICM&MG SB RAS, Novosibirsk, Russia
fYear
2005
fDate
26 June-2 July 2005
Firstpage
25
Lastpage
26
Abstract
The problem of coding low-entropy Markov sources is considered. Since the run-length code was offered about fifty years ago by Shannon (1948), it is known that for such sources there exist coding methods much simpler than for sources of a general type. However the known coding methods of low-entropy sources does not give possibility to reach the given redundancy. On the basis of code construction by Ryabko and Sharova (2000), a new method of coding low-entropy Markov sources is offered. It permits to reach a given redundancy r with almost the same encoder and decoder memory size as for general methods while encoding and decoding are much faster.
Keywords
Markov processes; decoding; entropy codes; redundancy; runlength codes; source coding; code construction; coding methods; decoding; encoding; low-entropy Markov source coding; redundancy; run-length code; Decoding; Encoding; Entropy; Probability; Random access memory; Size measurement; Source coding; Statistics; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on
Print_ISBN
0-7803-8943-3
Type
conf
DOI
10.1109/KORUS.2005.1507635
Filename
1507635
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