Yi-Ju Zhan
Guangdong University of Technology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

High SNR Gain by Stochastic Resonance in a Tristable System Pin Wan; Yi-Ju Zhan; Hui Zheng; Luo-Ya Zeng; Qin Deng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

We report that the signal-to-noise ratio (SNR) can be improved by the stochastic resonance (SR) in a tristable system. The system is driven by Gaussian white noise and a sinusoidal signal, and studied by using the second-order Runge-Kutta method. We find that the SNR gain exhibits the stochastic resonance behavior, and greatly exceeds unity on some occasions. This result is the latest development of the tristable stochastic resonance, and has potential applications in the signal detection, processing and communications.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3712