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Proceedings Paper

Practical Universal Noiseless Coding
Author(s): Robert F. Rice
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Paper Abstract

Discrete data sources arising from practical problems are generally characterized by only partially known and varying statistics. This paper provides the development and analysis of some practical adaptive techniques for the efficient noiseless coding of a broad class of such data sources. Specifically, algorithms are developed for coding discrete memoryless sources which have a known symbol probability ordering but unknown probability values. A general applicability of these algorithms is obtained because most real world problems can be simply transformed into this form by appropriate preprocessing.

Paper Details

Date Published: 28 December 1979
PDF: 21 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958253
Show Author Affiliations
Robert F. Rice, Jet Propulsion Laboratory (United States)


Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

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