HIGH SIGNAL-TO-NOISE RATIO GAIN BY STOCHASTIC RESONANCE IN A DOUBLE WELL-Reference-Cited by-同舟云学术

HIGH SIGNAL-TO-NOISE RATIO GAIN BY STOCHASTIC RESONANCE IN A DOUBLE WELL

Published:2001-09 Issue:03 Volume:01 Page:L181-L188
ISSN:0219-4775
Container-title:Fluctuation and Noise Letters
language:en
Short-container-title:Fluct. Noise Lett.

Author:

GINGL ZOLTAN¹,MAKRA PETER¹,VAJTAI ROBERT¹

Affiliation:

1. Department of Experimental Physics, University of Szeged, Dóm tér 9., Szeged, H-6720, Hungary

Abstract

We demonstrate that signal-to-noise ratio (SNR) can be significantly improved by stochastic resonance in a double well potential. The overdamped dynamical system was studied using mixed signal simulation techniques. The system was driven by wideband Gaussian white noise and a periodic pulse train with variable amplitude and duty cycle. Operating the system in the non-linear response range, we obtained SNR gains much greater than unity. In addition to the classical SNR definition, the ratio of the total power of the signal to the power of the noise part was also measured and it showed better signal improvement.

Publisher

World Scientific Pub Co Pte Lt

Subject

General Physics and Astronomy,General Mathematics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219477501000408

Reference18 articles.

1. A stochastic resonator is able to greatly improve signal-to-noise ratio

2. Theory of stochastic resonance in signal transmission by static nonlinear systems

3. Irreversibility of classical fluctuations studied in analogue electrical circuits

4. Stochastic resonance in non-dynamical systems without response thresholds

5. Noise-supported travelling waves in sub-excitable media

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stochastic resonance in Bayesian estimation and CRLB for nonlinear system;Physica A: Statistical Mechanics and its Applications;2023-01

2. Signal-to-noise ratio gain of an adaptive neuron model with Gamma renewal synaptic input;Acta Mechanica Sinica;2022-01

3. Cancer-Specific Resonances;Open Journal of Biophysics;2022

4. Stochastic Resonance Benefits in Signal Detection under MAP Criterion;Communications in Nonlinear Science and Numerical Simulation;2021-06

5. Stochastic Resonance Effect in Optimal Decision Solution Under Neyman–Pearson Criterion;Circuits, Systems, and Signal Processing;2021-01-13