Paper
28 December 1979 Practical Universal Noiseless Coding
Robert F. Rice
Author Affiliations +
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.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert F. Rice "Practical Universal Noiseless Coding", Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); https://doi.org/10.1117/12.958253
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Cited by 39 scholarly publications.
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KEYWORDS
Binary data

Digital image processing

Manganese

Statistical analysis

Image compression

Algorithm development

Lithium

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