Information Capacity of Dimension-Limited Channels

Abstract

Average information capacity is determined for a class of communication channels containing additive noise. Gaussian noise processes and a large class of nonGaussian processes are included. The constraint on the transmitted signals is given in terms of an increasing family of finite- dimensional subspaces. The results apply to the classical discrete-time channel and to continuous-time channels with fixed signal duration. Keywords: Coding; Linear operators. (KR)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1989
Accession Number
ADA215238

Entities

People

  • C. R. Baker

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Additives (Chemicals)
  • Communication Channels
  • Convergence
  • Covariance
  • Eigenvalues
  • Eigenvectors
  • Gaussian Channels
  • Gaussian Noise
  • Identities
  • Numbers
  • Probability
  • Sequences
  • Stationary
  • Statistics
  • Stochastic Processes
  • Topology

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Radio communications and signal processing.