Stochastic resonance in a parallel array of nonlinear dynamical elements
- 1. Institute of Complexity Science, Qingdao University, Qingdao 266071 (China)
- 2. Laboratoire d'Ingenierie des Systemes Automatises (LISA), Universite d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers (France)
- 3. Centre for Biomedical Engineering (CBME) and School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005 (Australia)
Description
In an uncoupled parallel array of bistable dynamical elements subject to a common noisy subthreshold rectangular signal, the signal-to-noise ratio (SNR) gain can be improved by tuning the internally added array noise. A SNR gain above unity is observed in certain regions of the array noise intensity. The maximum SNR gain is obtained as the size of the array goes to infinity. This form of stochastic resonance (SR), i.e., array SR, is analytically described by introducing a quasi-stationary probability density model, yielding expressions for the transition probability and the stationary autocorrelation function. The analytical results have interpretative value for the mechanism of array SR, and may be of heuristic interest for applying array SR to related signal processing problems. Additionally, the analytical descriptions of an isolated bistable system agree well with numerical results of both conventional SR for a subthreshold rectangular input and residual SR for a slightly suprathreshold signal
Availability note (English)
Available from http://dx.doi.org/10.1016/j.physleta.2007.10.092Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2007.10.092;
- PII
- S0375-9601(07)01629-5;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 372
- Journal Issue
- 13
- Journal Page Range
- p. 2159-2166
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 39092567
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- GAIN; NOISE; NONLINEAR PROBLEMS; PROBABILITY; PROCESSING; RESONANCE; SIGNAL-TO-NOISE RATIO; STOCHASTIC PROCESSES
- Descriptors DEC
- AMPLIFICATION; DIMENSIONLESS NUMBERS
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.