Variable-Rate, Weakly- and Strongly-Universal Source Coding Subject to a Fidelity Constraint.

Abstract

The goal of universal source coding is to find codes which are efficient for sources with unknown or incompletely specified probability distributions; this is equivalent to finding codes which are efficient for a collection of sources. Previous work in universal variable-rate source coding subject to a fidelity constraint has assumed a prior probability measure on a collection of stationary ergodic sources. It is then shown that there is a single code which gives an average distortion D at an optimum rate, R sub theta (D), for most sources theta in the collection. This code is necessarily variable-rate since R sub theta (D) is not constant over the collection of sources. In this dissertation, new results are presented on coding a collection of stationary ergodic sources when no prior probability measure is assumed. In particular, it is shown that there exist variable-rate universal codes whose rate-distortion performance converges to the optimum attainable performance for each source in the collection. Two types of universal codes are considered in which the above convergence is pointwise (weakly-universal) or uniform (strongly-universal) over the collection of sources. It is assumed that there is a letter in the reproducing alphabet giving finite average distortion when used with each source in the collection and that sup R sub theta (D) over the collection of sources of finite. Strongly-universal codes are shown to exist for collections of finite alphabet memoryless sources and certain types of Markov sources.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1977
Accession Number
ADA041686

Entities

People

  • Kenneth Marsh Mackenthun Jr

Organizations

  • University of Illinois Urbana–Champaign

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  • Advanced Electronics
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  • Air Force
  • Coding
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  • Illinois
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  • Applied Combinatorial Optimization and Logic Circuit Design.
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