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Article Dans Une Revue IEEE Instrumentation and Measurement Magazine Année : 2020

Binary signal transmission in nonlinear sensors: Stochastic resonance and human hand balance

Fabing Duan
Lingling Duan
Yuhao Ren
  • Fonction : Auteur
Derek Abbott

Résumé

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.
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Dates et versions

hal-02471630 , version 1 (08-02-2020)

Identifiants

Citer

Fabing Duan, Lingling Duan, François Chapeau-Blondeau, Yuhao Ren, Derek Abbott. Binary signal transmission in nonlinear sensors: Stochastic resonance and human hand balance. IEEE Instrumentation and Measurement Magazine, 2020, 23 (1), pp.44-49. ⟨10.1109/MIM.2020.8979523⟩. ⟨hal-02471630⟩
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