Double stochastic resonance induced by varying potential-well depth and width
The role of potential-well depth and width on stochastic resonance (SR) driven by colored
noise with different noise correlation times is explored and evaluated by deriving the analytic …
noise with different noise correlation times is explored and evaluated by deriving the analytic …
Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry
A dynamical model submerged in two colored multiplicative and additive noises by colored
cross-correlation is established to elaborate controllable asymmetric potential-well with …
cross-correlation is established to elaborate controllable asymmetric potential-well with …
Noise-boosted backpropagation learning of feedforward threshold neural networks for function approximation
Aiming to ensure the feasibility of the backpropagation training of feedforward threshold
neural networks, each hidden unit layer is designed to be composed of a sufficiently large …
neural networks, each hidden unit layer is designed to be composed of a sufficiently large …
[HTML][HTML] Stochastic resonance in Hopfield neural networks for transmitting binary signals
We investigate the stochastic resonance phenomenon in a discrete Hopfield neural network
for transmitting binary amplitude modulated signals, wherein the binary information is …
for transmitting binary amplitude modulated signals, wherein the binary information is …
[HTML][HTML] Enhancing threshold neural network via suprathreshold stochastic resonance for pattern classification
Hard-threshold nonlinearities are of significant interest for neural-network information
processing due to their simplicity and low-cost implementation. They however lack an …
processing due to their simplicity and low-cost implementation. They however lack an …
Nonlinear resonance decomposition for weak signal detection
This paper attempts to investigate the behaviors of coupling stochastic resonance (CSR)
subject to α-stable noise and a periodic signal by using the residence-time ratio. Then, a …
subject to α-stable noise and a periodic signal by using the residence-time ratio. Then, a …
Signal estimation and filtering from quantized observations via adaptive stochastic resonance
Using a gradient-based algorithm, we investigate signal estimation and filtering in a large-
scale summing network of single-bit quantizers. Besides adjusting weights, the proposed …
scale summing network of single-bit quantizers. Besides adjusting weights, the proposed …
A parallel algorithm of image mean filtering based on OpenCL
H **ao, B Guo, H Zhang, C Li - IEEE Access, 2021 - ieeexplore.ieee.org
The image will be contaminated by noise during the imaging process, which severely
degrades the image quality. It is necessary to filter the collected image. With the increasing …
degrades the image quality. It is necessary to filter the collected image. With the increasing …
Stochastic resonance in a delay-controlled dissipative bistable potential for weak signal enhancement
This paper attempts to investigate the stochastic resonance (SR) phenomenon in a delay-
controlled dissipative bistable potential with time-delayed feedback under the action of …
controlled dissipative bistable potential with time-delayed feedback under the action of …
SNR gain enhancement in a generalized matched filter using artificial optimal noise
Y Ren, Y Pan, F Duan - Chaos, Solitons & Fractals, 2022 - Elsevier
For a weak signal buried in a given background noisy environment, a generalized matched
filter composed of nonlinearities and weight coefficients is investigated by exploring the …
filter composed of nonlinearities and weight coefficients is investigated by exploring the …