Algebraic Information Theory and Stochastic Resonance for Binary-Input Binary-Output Channels

Abstract

In this paper, we analyze the information theoretic aspects of the phenomenon of stochastic resonance in terms of the algebraic properties of the channel matrix. The binary-input binary-output channel model under discussion is a threshold system. We offer an algebraic view of Kosko's Forbidden Interval Theorem, and extend his result in certain cases.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA580135

Entities

People

  • Ira S. Moskowitz
  • Paul Cotae
  • Pedro N. Safier

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Channel Capacity
  • Channel Models
  • Communication Channels
  • Differential Equations
  • Distribution Functions
  • District Of Columbia
  • Equations
  • Gaussian Distributions
  • Information Theory
  • Intervals
  • Normal Distribution
  • Notation
  • Probability
  • Probability Density Functions
  • Random Variables
  • Resonance
  • Theorems

Readers

  • Calculus or Mathematical Analysis
  • Materials Science and Engineering.
  • Radio communications and signal processing.