Suppression of jamming in excitable systems by aperiodic stochastic resonance

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

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


To suppress undesirable noise (jamming) associated with signals is important for many applications. Here we explor 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 occuring 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
Pages (from-to)3519-3539
Number of pages21
JournalInternational Journal of Bifurcation and Chaos
Issue number10
Publication statusPublished - Oct 2004


  • aperiodic signal
  • stochastic resonance
  • noise reduction
  • excitable system
  • noisy signals
  • information
  • enhancement
  • transmission
  • models
  • communication
  • ensembles
  • crayfish
  • elements
  • driven


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