Stochastic resonance is by now a well studied phenomenon whereby certain nonlinear
systems, subject to weak input signals, have the property that the presentation of stochastic …

This paper shows how adaptive systems can learn to add an optimal amount of noise to
some nonlinear feedback systems. This" stochastic resonance"(SR) effect occurs in a wide …

When detecting a weak and high-frequency signal submerged in strong noise, the existing
large parameter stochastic resonance (LPSR) models need either a high sampling …

A deterministic periodic signal plus a stationary random noise is applied to a static
nonlinearity taking the form of a monovariable arbitrary function on real numbers. The …

The design of analogue electronic experiments to investigate phenomena in nonlinear
dynamics, especially stochastic phenomena, is described in practical terms. The advantages …

Stochastic resonance (SR) is widely studied in signal feature extraction. The standard tri-
stable SR (STSR) method possesses superior performance than the classical bistable SR …

The nonlinear response of noisy bistable systems driven by a strong amplitude-periodic
force is investigated by physical experiment. The new phenomenon of locking of the mean …

Stochastic resonance (SR), a noise-assisted tool, has been proved to be very powerful in
weak signal detection. The multiscale noise tuning SR (MSTSR), which breaks the restriction …

The principle of stochastic resonance (SR) in the noisy Duffing oscillator model has shown
benefit for designing novel mechanical fault diagnosis algorithms, where noise is utilized …

The nonlinear stochastic dynamical system has been an important subject in areas of
mechanics, mathematics, engineering and so on, and finds various applications in different …