Stochastic resonance in linear system due to dichotomous noise modulated by bias signal
Creators
- 1. Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, Shaanxi 710072 (China)
- 2. Department of Automatic control, Northwestern Polytechnical University, Xi'an, Shaanxi 710072 (China)
Description
The stochastic resonance in an over-damped linear system due to dichotomous noise modulated by a bias signal is studied in detail. By the theory of signal-to-noise ratio (SNR) and the Shapiro-Loginov formula, the exact expressions of the first two moments and SNR for the output to the asymmetric dichotomous noise input are obtained. It is found that each curve of the SNR versus the multiplicative noise intensity exhibits a mono peak and the conventional stochastic resonance appears, which is absent for the case of noise and periodic signal introduced additively. Meanwhile, the SNR is a non-monotonic function of the signal frequency or the correlation time of noise, and the bona fide stochastic resonance (SR) and SR in a broad sense exist. Moreover, the SNR depends on the additive noise intensity, cross-correlation strength and asymmetry of multiplicative noise
Availability note (English)
Available online at http://stacks.iop.org/0305-4470/38/3733/a5_17_002.pdf or at the Web site for the Journal of Physics. A, Mathematical and General (ISSN 1361-6447) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0305-4470/38/3733/a5_17_002.pdf; http://www.iop.org/;
- DOI
- 10.1088/0305-4470/38/17/002;
- PII
- S0305-4470(05)90601-X;
Publishing Information
- Journal Title
- Journal of Physics. A, Mathematical and General
- Journal Volume
- 38
- Journal Issue
- 17
- Journal Page Range
- p. 3733-3742
- ISSN
- 0305-4470
- CODEN
- JPHAC5
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 36096135
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ASYMMETRY; CORRELATIONS; NOISE; PERIODICITY; RESONANCE; SIGNAL-TO-NOISE RATIO; SIGNALS; STOCHASTIC PROCESSES
- Descriptors DEC
- VARIATIONS