Numerical research of signal-to-noise ratio gain on a monostable stochastic resonance
Wan Pin, Yiju Zhan, Xuecong Li, Yonghua Wang
Abstract
Wan Pin, Yiju Zhan, Xuecong Li, Yonghua Wang
Abstract
We report a stochastic resonance with the signal-to-noise ratio gain in a monostable system, by the fourth-order Runge-Kutta method, and on some occasions the signal-to-noise ratio gain exceeds 1. Tuning the parameters in the monostable stochastic resonance system can change the signal-to-noise ratio gain. This research result is the latest development of the monostable stochastic resonance, and has potential applications in the signal detection, processing and communications.
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We report a stochastic resonance with the signal-to-noise ratio gain in a monostable system, by the fourth-order Runge-Kutta method, and on some occasions the signal-to-noise ratio gain exceeds 1. Tuning the parameters in the monostable stochastic resonance system can change the signal-to-noise ratio gain. This research result is the latest development of the monostable stochastic resonance, and has potential applications in the signal detection, processing and communications.
Key concepts: Multivibrator, Stochastic resonance, SIGNAL (programming language), Noise (video), Signal-to-noise ratio (imaging), Signal transfer function, Computer science, Physics