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.
转载本文请联系原作者获取授权，同时请注明本文来自段法兵科学网博客。
链接地址：https://wap.sciencenet.cn/blog-1065241-1192239.html?mobile=1
收藏
