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Data Compression Method Combining Properties of PPM and CTW

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Book cover Progress in Discovery Science

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2281))

Abstract

Universal compression and leaning has been interacting with each other. This paper combines two compression schemes, PPM (Prediction by Partial Match) and CTW (Context Tree Weighting), to a scheme which can predict the multi-alphabet probabilities to attain better compression ratio.

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References

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Author information

Authors and Affiliations

  1. University of Tokyo, Japan

    Takumi Okazaki & Hiroshi Imai

  2. Tohoku University, Japan

    Kunihiko Sadakane

Authors
  1. Takumi Okazaki
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  2. Kunihiko Sadakane
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  3. Hiroshi Imai
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, 812-8581, Fukuoka, Japan

    Setsuo Arikawa  & Ayumi Shinohara  & 

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Okazaki, T., Sadakane, K., Imai, H. (2002). Data Compression Method Combining Properties of PPM and CTW. In: Arikawa, S., Shinohara, A. (eds) Progress in Discovery Science. Lecture Notes in Computer Science(), vol 2281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45884-0_18

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  • DOI: https://doi.org/10.1007/3-540-45884-0_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43338-5

  • Online ISBN: 978-3-540-45884-5

  • eBook Packages: Springer Book Archive

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