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What can stochastic resonance do?

Author

Listed:
  • M. I. Dykman

    (Michigan State University)

  • P. V. E. McClintock

    (Lancaster University)

Abstract

Stochastic resonance1,2,3 is often defined as a noise-induced rise (and then fall, for higher noise intensities) of the signal-to-noise ratio (SNR) of a weak narrow-band signal in a nonlinear system. Various applications of this phenomenon are being explored, in particular the possibility that stochastic resonance might help enable biological cells to respond to weak 50-60-Hz electromagnetic fields, far below the thermal noise level4,5. We therefore feel that its place within the broader physics context should be specified more clearly. Specifically, what stochastic resonance can, and cannot, be expected to do.

Suggested Citation

  • M. I. Dykman & P. V. E. McClintock, 1998. "What can stochastic resonance do?," Nature, Nature, vol. 391(6665), pages 344-344, January.
    • Handle: RePEc:nat:nature:v:391:y:1998:i:6665:d:10.1038_34812
    DOI: 10.1038/34812
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    Cited by:

    1. Chapeau-Blondeau, François & Duan, Fabing & Abbott, Derek, 2008. "Signal-to-noise ratio of a dynamical saturating system: Switching from stochastic resonator to signal processor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2394-2402.
    2. Duan, Fabing & Chapeau-Blondeau, François & Abbott, Derek, 2009. "Input–output gain of collective response in an uncoupled parallel array of saturating dynamical subsystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1345-1351.
    3. Ueda, Michihito, 2010. "Improvement of signal-to-noise ratio by stochastic resonance in sigmoid function threshold systems, demonstrated using a CMOS inverter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 1978-1985.
    4. He, Yuanbiao & Qiao, Zijian & Xie, Biaobiao & Ning, Siyuan & Li, Zhecong & Kumar, Anil & Lai, Zhihui, 2024. "Two-stage benefits of internal and external noise to enhance early fault detection of machinery by exciting fractional SR," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    5. Suo, Jian & Wang, Haiyan & Lian, Wei & Dong, Haitao & Shen, Xiaohong & Yan, Yongsheng, 2023. "Feed-forward cascaded stochastic resonance and its application in ship radiated line signature extraction," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    6. Ren, Yuhao & Pan, Yan & Duan, Fabing, 2022. "SNR gain enhancement in a generalized matched filter using artificial optimal noise," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).

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