Stochastic resonance and signal recovery in two-dimensional arrays of coupled oscillators

Xue-Juan Zhang and Guan-Xiang Wang

Physica A: Statistical Mechanics and its Applications, 2005, vol. 345, issue 3, 411-420

Abstract: In this article, some prominent phenomena in a two-dimensional square array of coupled nonlinear oscillators driven by a periodic signal plus white noise are presented: (i) For a subthreshold periodic signal (A⩽1-b), besides conventional stochastic resonance (SR) as a best cooperative result of noise and periodic forcing, there also exists spontaneous SR induced purely by noise itself. The effects of these two SR phenomena are shown to be much better than those in the uncoupled case. (ii) For a superthreshold periodic driving (A>1-b), a certain amount of noise cannot only recover the concealed deterministic signal at the input frequency, but also significantly enhance the recovered signal to several times higher via the happening of SR. This phenomenon of SR is shown to be impossible in a single oscillator system.

Keywords: Stochastic resonance; Power spectrum; Response amplitude (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437104010532
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:345:y:2005:i:3:p:411-420

DOI: 10.1016/j.physa.2004.06.163

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().