On the Rate Distortion Function of a Memoryless Gaussian Vector Source Whose Components Have Fixed Variances,

Abstract

Consider a memoryless Gaussian vector source and assume that the variances of the components of its i.i.d. vectors are known and that no further information on their covariance structure is available. The authors study the dependence of the rate distortion function of such a source on the covariance structure of its i.i.d. vectors. In particular the authors give upper and lower bounds of the rate distortion function, both expressed only in terms of the known variances, and they show that the lower bound is tighter than the Shannon lower bound over a certain distortion region.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1971
Accession Number
ADA013873

Entities

People

  • Hoi M. Leung
  • Stamatis Cambanis

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Covariance
  • Data Science
  • Distortion
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis

Readers

  • Computer Programming and Software Development.
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.