Open AccessNumerical research of signal-to-noise ratio gain on a monostable stochastic resonance
Author(s) -
Pin Wan,
Yong Zhan,
Xuecong Li,
Yonghua Wang
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.040502
Subject(s) - multivibrator , stochastic resonance , signal (programming language) , noise (video) , signal to noise ratio (imaging) , signal transfer function , computer science , physics , control theory (sociology) , telecommunications , analog signal , control (management) , quantum mechanics , voltage , artificial intelligence , transmission (telecommunications) , image (mathematics) , programming language
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.