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J-GLOBAL ID:201402246928555004   Reference number:14A0957526

Evaluation of Maximum Redundancy of Data Compression via Substring Enumeration for k-th Order Markov Sources

k次マルコフ情報源のためのサブストリング列挙によるデータ圧縮の最大冗長性の評価
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Volume: E97.A  Issue:Page: 1754-1760 (J-STAGE)  Publication year: 2014 
JST Material Number: U0466A  ISSN: 1745-1337  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Code theory 
Reference (21):
  • [1] D. Dubé and V. Beaudoin, “Lossless data compression via substring enumeration,” Proc. 2010 Data Compression Conference, DCC2010, pp.229-238, Snowbird, Utah, USA, March 2010.
  • [2] D. Dubé, “Using synchronization bits to boost compression by substring enumeration,” 2010 Int. Symp. Information Theory and Appl., ISITA2010, pp.82-87, Taichung, Taiwan, Oct. 2010.
  • [3] D. Dubé, “On the use of stronger synchronization to boost compression by substring enumeration,” Proc. 2011 Data Compression Conference, DCC2011, p. 454, Snowbird, Utah, USA, March 2011.
  • [4] M. Burrows and D.J. Wheeler, “A block-sorting lossless data compression algorithm,” Digital SRC Research Report, Tech. Rep. 124, 1994.
  • [5] J.G. Cleary and W.J. Teahan, “Unbounded length contexts for PPM,” The Computer Journal, vol.40, pp.52-61, 1997.
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