Presentation 2014-03-10
Maximum Redundancy of Lossless Data Compression via Substring Enumeration with a Finite Alphabet
Ken-ichi IWATA, Mitsuharu ARIMURA,
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Abstract(in English) Ota and Morita proposed a universal two-pass antidictionary coding for a finite source alphabet in 2013. They also generalized a lossless compression via substring enumeration (CSE) to work for a finite source. Moreover, they proved the asymptotic optimality of the proposed codings for a statinary ergodic source. In this paper, we evaluate an upper bound of the codeword length obtained by a generalized CSE for k-th order Markov source with a finite source alphabet.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) lossless data compression / universal source coding / compression via substring enumeration / k-th order Markov sources / maximum redundancy
Paper # IT2013-55,ISEC2013-84,WBS2013-44
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Committee ISEC
Conference Date 2014/3/3(1days)
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Registration To Information Security (ISEC)
Language JPN
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Title (in English) Maximum Redundancy of Lossless Data Compression via Substring Enumeration with a Finite Alphabet
Sub Title (in English)
Keyword(1) lossless data compression
Keyword(2) universal source coding
Keyword(3) compression via substring enumeration
Keyword(4) k-th order Markov sources
Keyword(5) maximum redundancy
1st Author's Name Ken-ichi IWATA
1st Author's Affiliation Dept. of Information Science, University of Fukui()
2nd Author's Name Mitsuharu ARIMURA
2nd Author's Affiliation Dept. of Applied Computer Sciences, Shonan Institute of Technology
Date 2014-03-10
Paper # IT2013-55,ISEC2013-84,WBS2013-44
Volume (vol) vol.113
Number (no) 484
Page pp.pp.-
#Pages 6
Date of Issue