Coding Capacity and Error Exponent of the Poisson Channel with Time Varying Parameters.

Abstract

The coding capacity of the Poisson channel with nonrandom periodic noise intensity is obtained for an average constraint and a periodic peak constraint on the encoder intensity. The case of almost periodic channel parameters is also treated. For these Poisson channels, the coding capacity equals the information capacity. Also, the coding capacity is the same with and without causal feedback. A random coding lower bound on the optimum error exponent is given for these classes of Poisson channels. These results are derived using work of Wyner for the Poisson channel with nontime-varying channel parameters.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA235543

Entities

People

  • Michael R. Frey

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Channel Coding
  • Channel Models
  • Classification
  • Coders
  • Coding
  • Decoding
  • Intensity
  • Intervals
  • Message Encoding
  • North Carolina
  • Notation
  • Periodic Functions
  • Probability
  • Security
  • Statistics
  • Symbols
  • Time-Varying Channels

Fields of Study

  • Mathematics

Readers

  • Radio communications and signal processing.
  • Regression Analysis.