Journal ArticleDOI
Observation of stochastic resonance in a ring laser.
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The first observation of stochastic resonance in an optical device, the bidirectional ring laser, is reported and the addition of injected noise can lead to an improved signal-to-noise ratio.Abstract:
We report the first observation of stochastic resonance in an optical device, the bidirectional ring laser. The experiment exploits a new technique to modulate periodically the asymmetry between the two counter-rotating lasing modes. The measurements verify that the addition of injected noise can lead to an improved signal-to-noise ratio (relative to that observed with no externally injected noise).read more
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Stochastic resonance in an asymmetric bistable system driven by multiplicative and additive Gaussian noise and its application in bearing fault detection
TL;DR: In this article, a new asymmetric bistable model with an asymmetric term is proposed based on traditional bistability model and the influence of system parameters on the asymmetric Bistable potential function is studied.
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Stochastic resonance and the homoeopathic effect
TL;DR: In this paper, stochastic resonance, a non-linear response of certain systems when perturbed by noise and a weak periodic signal, which increasingly enhanced at the output as the magnitude of the noise grows towards an optimal value for maximum signal amplification, is considered.
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Noise-aided processing: revisiting ditheringin a /spl Sigma//spl Delta/ quantizer
TL;DR: It is shown that quantizing a sine, which means adding a small amount of noise in the input, can improve the quantization process, and the output local signal-to-noise ratio (SNR) exhibits a maximum when plotted against the noise amplitude.
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Stochastic multiresonance in coupled excitable FHN neurons.
TL;DR: It is revealed that the occurrence of stochastic multiresonance in the studied neuronal networks has close relationship with the period of subthreshold signal Te and the noise-induced mean period of the neuronal networks T0.
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Effects of hybrid synapses on the vibrational resonance in small-world neuronal networks.
TL;DR: It is shown that, irrespective of the probability of chemical synapses, an optimal amplitude of high-frequency part of the signal can optimize the dynamical response of neuron populations to the low-frequency component, which encodes the information.