Results 1 to 10 of about 32,366 (309)
A novel image noise reduction method for composite multistable stochastic resonance systems. [PDF]
Heliyon, 2023 In the field of digital signal processing, image denoising is an more and more significant research direction. For the traditional noise reduction theory, noise is considered to be harmful, and the image quality can be improved by analyzing noise ...
Jiao S, Shi J, Wang Y, Wang R.
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Magnetic Anomaly Detection Based on a Compound Tri-Stable Stochastic Resonance System. [PDF]
Sensors (Basel), 2023 In the case of strong background noise, a tri-stable stochastic resonance model has higher noise utilization than a bi-stable stochastic resonance (BSR) model for weak signal detection.
Huang J +6 more
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Signal-to-noise ratio enhancement for MEMS resonant sensors with potential barrier adjustable stochastic resonance. [PDF]
Microsyst NanoengThe signature of stochastic resonance is that additional noise surprisingly enhances the signal-to-noise ratio (SNR). A noise-adaptive system that learns to add an optimal amount of noise to trigger stochastic resonance and improve SNR is known as ...
Wu J, Zhou G.
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Controlled Symmetry with Woods-Saxon Stochastic Resonance Enabled Weak Fault Detection. [PDF]
Sensors (Basel), 2023 Weak fault detection with stochastic resonance (SR) is distinct from conventional approaches in that it is a nonlinear optimal signal processing to transfer noise into the signal, resulting in a higher output SNR.
Liu J +5 more
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Stochastic resonance in MoS2 photodetector. [PDF]
Nat Commun, 2020 Here, the authors take advantage of stochastic resonance in a photodetector based on monolayer MoS2 for measuring otherwise undetectable, ultra-low-intensity, subthreshold optical signals from a distant light emitting diode in the presence of a finite ...
Dodda A +5 more
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Recent Trends of Controlling Chaotic Resonance and Future Perspectives
Frontiers in Applied Mathematics and Statistics, 2021 Stochastic resonance is a phenomenon in which the effects of additive noise strengthen the signal response against weak input signals in non-linear systems with a specific barrier or threshold.
Sou Nobukawa +8 more
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Memory Storage Systems Utilizing Chaotic Attractor-Merging Bifurcation
IEEE Access, 2022 In nonlinear dynamical systems with barriers/thresholds, the signal response against a weak external input signal is enhanced by an appropriate additive noise (stochastic resonance).
Sou Nobukawa +4 more
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Nonconventional stochastic resonance [PDF]
Journal of Statistical Physics, 1993 It is argued, on the basis of linear response theory (LRT), that new types of stochastic resonance (SR) are to be anticipated in diverse systems, quite different from the one most commonly studied to date, which has a static double-well potential and is driven by a net force equal to the sum of periodic and stochastic terms.
DYKMAN MI +5 more
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Entropy, 2022 Stochastic resonance in clusters of major histocompatibility molecules is extended by a more detailed description of adaptive thresholding and by applying the notion of suprathreshold stochastic resonance as a stochastically quantizing encoder of ...
László Bene +2 more
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