Threshold Based Stochastic Resonance for the Binary-Input Ternary-Output Discrete Memoryless Channels

Abstract

In this paper, we discuss the Stochastic Resonance (SR) effect for the binary-input ternary-output Discrete Memoryless Channels (DMC). The DMC is of great interest for various digital communications channels, including acoustic underwater communication. We focus on the capacity maximization, brought about by additive Gaussian noise, for the DMCs. We analyze the capacity of the threshold binary communication channels in the presence of Additive Gaussian Noise (AGN). In the particular case of binary asymmetric channels with symmetric erasures (BAC/SE) we derive the optimum noise level in order to obtain the maximum capacity. The stochastic resonance for the general binary erasure channel is compared with those of binary symmetric channels. For the general case (2, n) DMC, the Pinsker and Helgert capacity bounds were used for the study of the stochastic resonance.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2012
Accession Number
ADA580147

Entities

People

  • Ira S. Moskowitz
  • Paul Cotae
  • Roland Kamdem

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Communication Channels
  • Communication Systems
  • Digital Communications
  • District Of Columbia
  • Gaussian Distributions
  • Gaussian Noise
  • Health Care
  • Noise
  • Probability
  • Random Variables
  • Resonance
  • Sensor Networks
  • Signal Processing
  • Standards
  • Underwater Communications
  • Wireless Sensor Networks

Readers

  • Operations Research
  • Radio communications and signal processing.