Suppression of jamming in excitable systems by aperiodic stochastic resonance

Ying-Cheng Lai, Zonghua Liu, Arje Nachman, Liqiang Zhu

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

To suppress undesirable noise (jamming) associated with signals is important for many applications. Here we explore the idea of jamming suppression with realistic, aperiodic signals by stochastic resonance. In particular, we consider weak amplitude-modulated (AM), frequency-modulated (FM), and chaotic signals with strong, broad-band or narrow-band jamming, and show that aperiodic stochastic resonance occurring in an array of excitable dynamical systems can be effective to counter jamming. We provide formulas for quantitative measures characterizing the resonance. As excitability is ubiquitous in biological systems, our work suggests that aperiodic stochastic resonance may be a universal and effective mechanism for reducing noise associated with input signals for transmitting and processing information.

Original languageEnglish (US)
Pages (from-to)3519-3539
Number of pages21
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Volume14
Issue number10
DOIs
StatePublished - Oct 2004

Keywords

  • Aperiodic signal
  • Excitable system
  • Noise reduction
  • Stochastic resonance

ASJC Scopus subject areas

  • Modeling and Simulation
  • Engineering (miscellaneous)
  • General
  • Applied Mathematics

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