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Adaptive Data Compression

  • Book
  • © 1991

Overview

Authors:
  1. Ross N. Williams

    1. Australian National, Australia

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 110)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xxvii
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  2. Introductory Survey

    • Ross N. Williams
    Pages 1-105

  3. The DHPC Algorithm

    • Ross N. Williams
    Pages 107-124

  4. A Classification of Adaptivity

    • Ross N. Williams
    Pages 125-144

  5. An Experimental Adaptive Algorithm

    • Ross N. Williams
    Pages 145-244

  6. A Multimodal Algorithm

    • Ross N. Williams
    Pages 245-281

  7. Applications to User Interfaces

    • Ross N. Williams
    Pages 283-304

  8. Conclusions

    • Ross N. Williams
    Pages 305-310

  9. Back Matter

    Pages 311-382
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Keywords

About this book

Following an exchange of correspondence, I met Ross in Adelaide in June 1988. I was approached by the University of Adelaide about being an external examiner for this dissertation and willingly agreed. Upon receiving a copy of this work, what struck me most was the scholarship with which Ross approaches and advances this relatively new field of adaptive data compression. This scholarship, coupled with the ability to express himself clearly using figures, tables, and incisive prose, demanded that Ross's dissertation be given a wider audience. And so this thesis was brought to the attention of Kluwer. The modern data compression paradigm furthered by this work is based upon the separation of adaptive context modelling, adaptive statistics, and arithmetic coding. This work offers the most complete bibliography on this subject I am aware of. It provides an excellent and lucid review of the field, and should be equally as beneficial to newcomers as to those of us already in the field.

Authors and Affiliations

  • Australian National, Australia

    Ross N. Williams

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