Proceedings of IEEE International Symposium on Information Theory Held in San Antonio, Texas on January 17 - 22, 1993

Abstract

We consider the problem of asymptotic quantization in conjunction with a noisy binary symmetric channel. For a noiseless channel, Bennett's integral is a formula for the distortion of a scalar quantizer given in terms of the source density, the number of quantization points (assumed to be large), and the distribution of quantization points, or point density. In this paper we extend Bennett's integral to the case where the quantizer is used in conjunction with a noisy binary symmetric channel, assuming that channel codewords are assigned randomly. We also derive an expression for the optimum noisy channel point density.

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Document Details

Document Type
Technical Report
Publication Date
Jan 22, 1993
Accession Number
ADA268968

Entities

Organizations

  • Institute of Electrical and Electronics Engineers

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Communication Channels
  • Computational Science
  • Data Science
  • Databases
  • Detectors
  • Geography
  • Information Processing
  • Information Science
  • Information Systems
  • Information Theory
  • Mathematical Filters
  • Multiple Access
  • Network Science
  • Two Dimensional

Readers

  • Academic Conference Management
  • Calculus or Mathematical Analysis
  • Computer Programming and Software Development.