Effects of some sorts of nonlinear systems on signal processing via parameter optimized stochastic resonance
Jianlong Li,
Ronghao Bao and
Bohou Xu
Physica A: Statistical Mechanics and its Applications, 2003, vol. 323, issue C, 249-262
Abstract:
This paper deals with the effects of stochastic resonance in some sorts of nonlinear dynamic systems on multi-frequency signal processing in the presence of white or colored noise. By means of tuning system parameters and changing the nonlinear systems, the ability of the systems driven by noise to process a weak signal can be enhanced. We are trying to look for a more effective system to process signals and to find a few systems which have higher effectiveness on signal processing in some circumstances. The numerical simulations strongly support the theoretical conclusions.
Keywords: Stochastic resonance; Nonlinear systems; Tuning system parameters; System response speed (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437103000578
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:323:y:2003:i:c:p:249-262
DOI: 10.1016/S0378-4371(03)00057-8
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 ().