19年2月份接到Prof. Adi Bulsara邀请信，6月28日投稿，7月25日接收，不到一个月的时间，非常感谢主编的高效率，目前待刊。这篇论文主要从单个传感器、传感器并联和网络到人体手部平衡几个方面讨论了噪声有益性，提倡利用大量低耗、低计算复杂度的传感单元来利用噪声达到优化系统性能的目的，希望能够推动理论向实际问题转化。

Binary Signal Transmission in Nonlinear Sensors: Stochastic Resonance and Human Hand Balance

Fabing Duan, Lingling Duan, François Chapeau-Blondeau, Yuhao Ren, Derek Abbott

Many sensors exhibit nonlinear characteristics [1-5] and are deployed in noisy environments [1-7]. In terms of device design and forming standards, this is a challenging area. However, it also presents opportunities for non-conventional signal processing methods based on stochastic resonance that have been shown to be of benefit for individual nonlinear sensors [1-7], sensor arrays [3-10], sensor networks [3,8,11], and even portable devices for people with reduced sensory capacity [12-14]. The most fascinating property of stochastic resonance is that nonlinear sensors connected in parallel or in a network yield improved performance over that achieved by using individual sensors [1-10]. Studies in stochastic resonance have led to evidence of noise-enhanced signal transmission and processing in nonlinear sensors, and noise can be exploited in the design of engineered devices [2-7,10] and biological systems [1,11-13]. This paper studies noise-enhanced signal transmission and processing in nonlinear sensors, and also exploits the positive role of noise in the design of engineered devices that enhance the sensitivity of hand movements.