A NOTE ON SELECTION OF A CHANNEL MODEL.

Abstract

The finite-state channel model assumed in Shannon's noisy channel theorem yields the conclusion that error probability can be reduced exponentially with code length at any information rate less than channel capacity. Evidence from statistics of real channels suggests, however, that this exponential behavior is not achievable for any code duration which might conceivably be used in practice. This report exhibits an infinite-state model which leads to a somewhat different conclusion about what can be accomplished with coding than would be reached with a finite-state model; namely, that error probability can be reduced only as a small power of code length. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1964
Accession Number
AD0611309

Entities

People

  • John J. Metzner

Organizations

  • New York University

Tags

DTIC Thesaurus Topics

  • Channel Capacity
  • Channel Models
  • Data Science
  • Information Science
  • Probability
  • Statistics

Readers

  • Mathematical Modeling and Probability Theory.
  • Radio communications and signal processing.
  • Systems Analysis and Design