段法兵

期刊论文

1. 张莉，潘燕，段法兵，François Chapeau-Blondeau，Derek Abbott (2026). Sequential noise-boosted M-estimation for robust parameter estimation under impulsive noise. Chinese Physics B.
2. Anonymous, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2026). Stabilizing generative adversarial networks with adaptive noise injection. Physical review. E.DOI
3. Xiaoyue Gu, Yuhao Ren, Fabing Duan, Derek Abbott (2026). Enhancing Attention-Based Visual Processing With Noise-Boosted Activation Functions. IEEE Access.DOI
4. Caimin An, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2025). Exploring the Bayes-oriented noise injection approach in neural networks. Physics Letters A.DOI
5. Enxu Song, Caimin An, Yuhao Ren, Fabing Duan (2025). Understanding the benefits of noise in deep neural networks via the information bottleneck. Measurement Science and Technology.DOI
6. Yan Hong Pan, Li Zhang, Liyan Xu, Fabing Duan (2024). DOA Estimation on One-Bit Quantization Observations through Noise-Boosted Multiple Signal Classification. Sensors.DOI
7. Yuhao Ren, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2024). Self-gating stochastic-resonance-based autoencoder for unsupervised learning. Physical review. E.DOI
8. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2023). Optimized injection of noise in activation functions to improve generalization of neural networks. Chaos Solitons & Fractals.DOI
9. Yan Hong Pan, Liyan Xu, Fabing Duan, François Chapeau‐Blondeau (2023). Optimal Noise-Boosted Estimator Design Via Adaptive Stochastic Resonance. Fluctuation and Noise Letters.DOI
10. 李伟进，任昱昊，段法兵 (2022). Hyperparameter on-line learning of stochastic resonance based threshold networks. Chinese Physics B.
11. Tianting Xie, Yuandong Ji, Zhongshan Yang, Fabing Duan, Derek Abbott (2022). Optimal added noise for minimizing distortion in quantizer-array linear estimation. Chaos Solitons & Fractals.DOI
12. Lingling Duan, Yuhao Ren, Fabing Duan (2022). Adaptive stochastic resonance based convolutional neural network for image classification. Chaos Solitons & Fractals.DOI
13. Saiya Bai, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2022). Generalization of stochastic-resonance-based threshold networks with Tikhonov regularization. Physical review. E.DOI
14. Zejia Chen, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2022). Training threshold neural networks by extreme learning machine and adaptive stochastic resonance. Physics Letters A.DOI
15. Yuhao Ren, Yan Hong Pan, Fabing Duan (2021). SNR gain enhancement in a generalized matched filter using artificial optimal noise. Chaos Solitons & Fractals.DOI
16. Jia Liu, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2021). Distributed Bayesian vector estimation using noise-optimized low-resolution sensor observations. Digital Signal Processing.DOI
17. Fei Li, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2021). Signal estimation and filtering from quantized observations via adaptive stochastic resonance. Physical review. E.DOI
18. Xiaojie Liu, Lingling Duan, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2021). Enhancing threshold neural network via suprathreshold stochastic resonance for pattern classification. Physics Letters A.DOI
19. Yan Hong Pan, Fabing Duan, François Chapeau‐Blondeau, Liyan Xu, Derek Abbott (2021). Study of vibrational resonance in nonlinear signal processing. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.DOI
20. Lingling Duan, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2021). Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation. IEEE Transactions on Instrumentation and Measurement.DOI
21. Lei Xiao, Fabing Duan, Junxuan Tang, Derek Abbott (2021). A Noise-Boosted Remaining Useful Life Prediction Method for Rotating Machines Under Different Conditions. IEEE Transactions on Instrumentation and Measurement.DOI
22. 韩博，刘佳，耿金花，段法兵（2020）. 加权随机汇池网络中递归最小二乘算法研究. 《复杂系统与复杂性科学》.DOI
23. Fabing Duan, Lingling Duan, François Chapeau‐Blondeau, Yuhao Ren, Derek Abbott (2020). Binary signal transmission in nonlinear sensors: Stochastic resonance and human hand balance. IEEE Instrumentation & Measurement Magazine.DOI
24. Jia Liu, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2020). Exploring $Bona~Fide$ Optimal Noise for Bayesian Parameter Estimation. IEEE Access.DOI
25. 景文腾，耿金花，韩博，段法兵（2019）. 多阈值随机汇池网络自适应估计性能研究. 《复杂系统与复杂性科学》.DOI
26. Lingling Duan, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2019). Stochastic resonance in Hopfield neural networks for transmitting binary signals. Physics Letters A.DOI
27. Yan Hong Pan, Fabing Duan, Liyan Xu, François Chapeau‐Blondeau (2019). Benefits of noise in M-estimators: Optimal noise level and probability density. Physica A Statistical Mechanics and its Applications.DOI
28. Fabing Duan, Yan Hong Pan, François Chapeau‐Blondeau, Derek Abbott (2019). Noise Benefits in Combined Nonlinear Bayesian Estimators. IEEE Transactions on Signal Processing.DOI
29. 潘园园，张力，段玲玲，段法兵（2018）. 离散Hopfield神经网络的手写数字识别研究. 《复杂系统与复杂性科学》.
30. 景文腾，韩博，耿金花，许丽艳，段法兵（2018）. 最优加权随机汇池网络的估计性能研究. 《复杂系统与复杂性科学》.
31. 韩博，景文腾，耿金花，段法兵（2018）. 最优加权随机汇池网络的自适应算法研究. 《复杂系统与复杂性科学》.
32. Yan Hong Pan, Yuhao Ren, Fabing Duan (2018). Noise benefits to robust M-estimation of location in dependent observations. Physica A Statistical Mechanics and its Applications.DOI
33. Yan Hong Pan, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2018). Noise Enhancement in Robust Estimation of Location. IEEE Transactions on Signal Processing.DOI
34. Yuhao Ren, Yan Hong Pan, Fabing Duan (2018). Generalized energy detector for weak random signals via vibrational resonance. Physics Letters A.DOI
35. 方鸿雁，潘园园，孙华通，张立，段法兵（2017）. 快速构建复杂网络仿真模型的算法研究. 《青岛大学学报(工程技术版)》.
36. 张立，孙华通，潘园园，段法兵（2017）. 人体手部运动的振荡共振辅助系统实验研究. 《复杂系统与复杂性科学》.
37. 方鸿雁，潘园园，孙华通，张立，段法兵（2017）. 耦合神经网络中脉冲信号传输的噪声增强研究. 《复杂系统与复杂性科学》.
38. 孙华通，张立，方鸿雁，潘园园，段法兵（2017）. 基于振荡共振原理的人体触觉传感装置设计. 《青岛大学学报(工程技术版)》.
39. Yan Hong Pan, Yuhao Ren, Fabing Duan (2017). Noise benefits of statistics with sign function in robust estimation. IEEE International Conference on Computer and Communications (ICCC).DOI
40. Liyan Xu, Fabing Duan, Xiao Gao, Derek Abbott, Mark D. McDonnell (2017). Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance. Royal Society Open Science.DOI
41. Yuhao Ren, Yan Hong Pan, Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2017). Exploiting vibrational resonance in weak-signal detection. Physical review. E.DOI
42. 侯鹏鹏，王慧，段法兵（2016）. 三电平超阈值随机共振模型的研究. 《青岛大学学报(工程技术版)》.
43. 王慧，侯鹏鹏，任昱昊，段法兵（2016）. 突触神经随机汇池网络的信息传递研究. 《青岛大学学报(工程技术版)》.
44. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2016). Capacity of very noisy communication channels based on Fisher information. Scientific Reports.DOI
45. Yuhao Ren, Fabing Duan (2016). Theoretical and experimental implementation of vibrational resonance in an array of hard limiters. Physica A Statistical Mechanics and its Applications.DOI
46. Liyan Xu, Fabing Duan, Derek Abbott, Mark D. McDonnell (2016). Optimal weighted suprathreshold stochastic resonance with multigroup saturating sensors. Physica A Statistical Mechanics and its Applications.DOI
47. 王风娇，任昱昊，赵进，段法兵（2015）. 耳蜗神经网络中语音信号传输的刺激条件信息研究. 《复杂系统与复杂性科学》.
48. 任昱昊，季冰，许丽艳，段法兵（2015）. 震荡随机共振的信噪比增益研究与电路仿真. 《复杂系统与复杂性科学》.
49. 赵进，王凤娇，段法兵（2015）. 有色噪声中非线性滤波器的信噪比研究. 《青岛大学学报(工程技术版)》.
50. Xinming Zhang, Jianfeng Yan, Fabing Duan (2015). Comparison of Bistable Systems and Matched Filters in Non-Gaussian Noise. Fluctuation and Noise Letters.DOI
51. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2015). Encoding efficiency of suprathreshold stochastic resonance on stimulus-specific information. Physics Letters A.DOI
52. Liyan Xu, Fabing Duan, Yuhao Ren, Derek Abbott (2015). Enhanced information transmission with generalized Gaussian signal via suprathreshold stochastic resonance. International Conference on Noise and Fluctuations.DOI
53. Fabing Duan, Liyan Xu, Ruhao Ren, Fengjiao Wang (2015). An informative view of suprathreshold stochastic resonance with stimulus-specific information. International Conference on Noise and Fluctuations.DOI
54. Liyan Xu, Tony Vladusich, Fabing Duan, Lachlan J. Gunn, Derek Abbott, Mark D. McDonnell (2015). Decoding suprathreshold stochastic resonance with optimal weights. Physics Letters A.DOI
55. 张兆森，王金光，段法兵（2014）. 窄带弱信号检测中的随机共振现象研究. 《青岛大学学报(工程技术版)》.
56. 季冰，任昱昊，张兆森，段法兵（2014）. 感知神经网络的信息传输及电路实现研究. 《青岛大学学报(工程技术版)》.
57. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2014). Double-maximum enhancement of signal-to-noise ratio gain via stochastic resonance and vibrational resonance. Physical Review E.DOI
58. Yumei Ma, Fabing Duan (2014). Comparison of stochastic resonance in static and dynamical nonlinearities. Physics Letters A.DOI
59. Bing Ji, Yuhao Ren, Zhaosen Zhang, Fabing Duan (2014). Study of stochastic resonance in hierarchical IF neural networks. Chinese Control Conference (CCC).DOI
60. Liyan Xu, Yuhao Ren, Fabing Duan (2014). Evaluation of bistable array in non-Gaussian noise for signal transmission. Chinese Control Conference (CCC).DOI
61. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2014). Non-Gaussian noise benefits for coherent detection of narrowband weak signal. Physics Letters A.DOI
62. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2014). Stochastic Resonance with Colored Noise for Neural Signal Detection. PLoS ONE.DOI
63. 祁明，许丽艳，季冰，段法兵（2013）. 周期性语音信号传输的超阈值随机共振研究. 《复杂系统与复杂性科学》.
64. 张静，许丽艳，段法兵（2013）. 广义相关检测器中噪声增强条件的研究. 《青岛大学学报(工程技术版)》.
65. 景振芳，任昱昊，季冰，张兆森，段法兵（2013）. 并联静态系统输出输入信噪比增益研究. 《青岛大学学报(工程技术版)》.
66. 薛绪册，闵现景，段法兵（2012）. 噪声增强局部最优处理器信噪比增益的研究. 《复杂系统与复杂性科学》.
67. 闵现景，景振芳，段法兵（2012）. 归一化局部最优处理器中随机共振现象的判定研究. 《青岛大学学报(工程技术版)》.
68. 唐晟，薛绪册，段法兵（2012）. 一种文本图像水印的算法研究. 《电子质量》.
69. 潘燕，张静，祁明，段法兵（2012）. 数字图像乘性与加性水印算法比较研究. 《青岛大学学报(工程技术版)》.
70. 邵亚楠，潘燕，段法兵（2011）. 音频水印符号检测器的研究. 《青岛大学学报(工程技术版)》.
71. Fabing Duan, Derek Abbott, François Chapeau‐Blondeau (2011). EVALUATION OF THE SIGN DETECTOR FOR DCT DOMAIN WATERMARK DETECTION. Fluctuation and Noise Letters.DOI
72. 王景，邵亚楠，唐晟，段法兵（2010）. 音频水印非线性检测器的研究. 《复杂系统与复杂性科学》.
73. Fabing Duan, Ying Wang (2010). A Nonlinear Detector for Optimal DCT-Domain Watermark Detection. International Conference on Electrical and Control Engineering.DOI
74. François Chapeau‐Blondeau, Fabing Duan, Derek Abbott (2010). Synaptic signal transduction aided by noise in a dynamical saturating model. Physical Review E.DOI
75. 曹明明，王景，段法兵（2009）. 兴奋性神经群体的非周期信息传输研究. 《复杂系统与复杂性科学》.
76. 徐小龙，段法兵（2009）. 一种非线性数字水印的改进方法. 《渤海大学学报(自然科学版)》.
77. 袁莉莉，徐小龙，段法兵（2008）. 阵列噪声增强技术在数字信息隐藏中的应用研究. 《复杂系统与复杂性科学》.
78. 晁文婷，段法兵（2008）. 数字图像多水印算法中的随机共振检测器研究. 《渤海大学学报(自然科学版)》.
79. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2008). Input–output gain of collective response in an uncoupled parallel array of saturating dynamical subsystems. Physica A Statistical Mechanics and its Applications.DOI
80. Fabing Duan, Derek Abbott (2008). Aperiodic stochastic resonant data storage on directed small-world networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
81. Fabing Duan, Derek Abbott, François Chapeau‐Blondeau (2008). THE APPLICATION OF SATURATING DETECTORS TO A DCT-DOMAIN WATERMARKING SCHEME. Fluctuation and Noise Letters.DOI
82. François Chapeau‐Blondeau, Fabing Duan, Derek Abbott (2008). Signal-to-noise ratio of a dynamical saturating system: Switching from stochastic resonator to signal processor. Physica A Statistical Mechanics and its Applications.DOI
83. 晁文婷，段法兵，徐博候（2007）. 循环平稳性与随机共振理论的非绝热描述. 《复杂系统与复杂性科学》.
84. Fabing Duan, Derek Abbott (2007). The application of nonlinear bistable detectors to DCT-domain watermarking schemes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
85. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2007). Stochastic resonance in a parallel array of nonlinear dynamical elements. Physics Letters A.DOI
86. 孙婧，段法兵（2006）. 复杂随机系统的信噪比增益研究与阵列随机共振. 《复杂系统与复杂性科学》.
87. Fabing Duan, Derek Abbott (2006). Binary modulated signal detection in a bistable receiver with stochastic resonance. Physica A Statistical Mechanics and its Applications.DOI
88. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2006). Noise-enhanced SNR gain in parallel array of bistable oscillators. Electronics Letters.DOI
89. 刘勇，鲍荣浩，段法兵（2005）. 参数调节随机共振与信号处理的研究——在四进制基带PAM信号传输中的应用. 《浙江大学学报(工学版)》.
90. Fabing Duan, Derek Abbott (2005). Signal detection for frequency-shift keying via short-time stochastic resonance. Physics Letters A.DOI
91. Fabing Duan, Derek Abbott, Qisheng Gao (2005). EVALUATION OF BISTABLE SYSTEMS VERSUS MATCHED FILTERS IN DETECTING BIPOLAR PULSE SIGNALS. Fluctuation and Noise Letters.DOI
92. Bohou Xu, Fabing Duan, François Chapeau‐Blondeau (2004). Comparison of aperiodic stochastic resonance in a bistable system realized by adding noise and by tuning system parameters. Physical Review E.DOI
93. 段法兵（2002）. 参数调节随机共振在数字信号传输中的应用. 《浙江大学》.
94. 谢和平，陈忠辉，段法兵，王家臣（2000）. 综放顶煤爆破能量的分形研究. 《力学与实践》.
95. 孙强，段法兵，谢和平（2000）. 煤体爆破破碎分维评价方法的研究. 《岩石力学与工程学报》.
96. 谢和平，段法兵，周宏伟，赵国旭（1998）. 条带煤柱稳定性理论与分析方法研究进展. 《中国矿业》.

预印本

1. Yan Hong Pan, Liyan Xu, Fabing Duan, François Chapeau‐Blondeau (2022). Applying the Optimal Injected Noise to Signal Estimation via Adaptive Stochastic Resonance. Research Square.DOI
2. Fabing Duan, François Chapeau‐Blondeau, Derek Abbott (2006). Noise improvement of SNR gain in parallel array of bistable dynamic systems by array stochastic resonance. arXiv (Cornell University).DOI