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Results 1-10 of 29 (Search time: 0.003 seconds).
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Issue Date
Title
Author(s)
2020
Binary signal transmission in nonlinear sensors: stochastic resonance and human hand balance
Duan, F.
;
Duan, L.
;
Chapeau-Blondeau, F.
;
Ren, Y.
;
Abbott, D.
2019
Noise benefits in combined nonlinear Bayesian estimators
Duang, F.
;
Pan, Y.
;
Chapeau-Blondeau, F.
;
Abbott, D.
2016
An output-only nonlinear system identification technique suited to integer arithmetic
Gunn, L.J.
;
Chapeau-Blondeau, F.
;
Allison, A.
;
Abbott, D.
;
IEEE Conference on Norbert Wiener in the 21st Century (21CW) (13 Jul 2016 - 16 Jul 2016 : Melbourne, VIC, Australia)
2016
Towards an information-theoretic model of the Allison mixture stochastic process
Gunn, L.J.
;
Chapeau-Blondeau, F.
;
Allison, A.
;
Abbott, D.
2016
Too good to be true: when overwhelming evidence fails to convince
Gunn, L.J.
;
Chapeau-Blondeau, F.
;
McDonnell, M.D.
;
Davis, B.R.
;
Allison, A.
;
Abbott, D.
2016
Encoding efficiency of suprathreshold stochastic resonance on stimulus-specific information
Duan, F.
;
Chapeau-Blondeau, F.
;
Abbott, D.
2021
Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation
Duan, L.
;
Duan, F.
;
Chapeau-Blondeau, F.
;
Abbott, D.
2022
Training threshold neural networks by extreme learning machine and adaptive stochastic resonance
Chen, Z.
;
Duan, F.
;
Chapeau-Blondeau, F.
;
Abbott, D.
2014
Non-Gaussian noise benefits for coherent detection of narrowband weak signal
Duan, F.
;
Chapeau-Blondeau, F.
;
Abbott, D.
2022
Generalization of stochastic-resonance-based threshold networks with Tikhonov regularization
Bai, S.
;
Duan, F.
;
Chapeau-Blondeau, F.
;
Abbott, D.
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Author
1
Chacron, M.J.
1
Chen, Z.
1
Davis, B.R.
1
Duang, F.
1
IEEE Conference on Norbert Wiener...
1
Ma, Y.
1
McDonnell, M.D.
.
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Stochastic Processes
3
Nonlinear Dynamics
3
Signal-To-Noise Ratio
3
Stochastic resonance
2
Algorithms
2
Correlation coefficient
2
Models, Theoretical
2
Signal-to-noise ratio
2
Vibration
2
watermark detection
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