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Type: Journal article
Title: Double-maximum enhancement of signal-to-noise ratio gain via stochastic resonance and vibrational resonance
Author: Duan, F.
Chapeau-Blondeau, F.
Abbott, D.
Citation: Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2014; 90(2):022134-1-022134-7
Publisher: American Physical Society
Issue Date: 2014
ISSN: 1539-3755
Statement of
Fabing Duan, François Chapeau-Blondeau, Derek Abbott
Abstract: This paper studies the signal-to-noise ratio (SNR) gain of a parallel array of nonlinear elements that transmits a common input composed of a periodic signal and external noise. Aiming to further enhance the SNR gain, each element is injected with internal noise components or high-frequency sinusoidal vibrations. We report that the SNR gain exhibits two maxima at different values of the internal noise level or of the sinusoidal vibration amplitude. For the addition of internal noise to an array of threshold-based elements, the condition for occurrence of stochastic resonance is analytically investigated in the limit of weak signals. Interestingly, when the internal noise components are replaced by high-frequency sinusoidal vibrations, the SNR gain displays the vibrational multiresonance phenomenon. In both considered cases, there are certain regions of the internal noise intensity or the sinusoidal vibration amplitude wherein the achieved maximal SNR gain can be considerably beyond unity for a weak signal buried in non-Gaussian external noise. Due to the easy implementation of sinusoidal vibration modulation, this approach is potentially useful for improving the output SNR in an array of nonlinear devices.
Keywords: Stochastic Processes
Nonlinear Dynamics
Signal-To-Noise Ratio
Rights: ©2014 American Physical Society
DOI: 10.1103/PhysRevE.90.022134
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