Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity
Based on solving numerically the generalized nonlinear Langevin equation describing the nonlinear dynamics of stochastic resonance by Fourth-order Runge-Kutta method, an aperiodic stochastic resonance based on an optical bistable system is numerically investigated. The numerical results show that a...
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Online Access: | http://dx.doi.org/10.1063/1.4871406 |
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doaj-1b15119072cb478ca79582573a4ee4be2020-11-24T20:52:22ZengAIP Publishing LLCAIP Advances2158-32262014-04-0144047111047111-810.1063/1.4871406013404ADVAperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavityXuefeng Li0Guangzhan Cao1Hongjun Liu2School of Science, Xi'an University of Post & Telecommunications, Xi'an, 710121, ChinaXi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119, ChinaXi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119, ChinaBased on solving numerically the generalized nonlinear Langevin equation describing the nonlinear dynamics of stochastic resonance by Fourth-order Runge-Kutta method, an aperiodic stochastic resonance based on an optical bistable system is numerically investigated. The numerical results show that a parameter-tuning stochastic resonance system can be realized by choosing the appropriate optical bistable parameters, which performs well in reconstructing aperiodic signals from a very high level of noise background. The influences of optical bistable parameters on the stochastic resonance effect are numerically analyzed via cross-correlation, and a maximum cross-correlation gain of 8 is obtained by optimizing optical bistable parameters. This provides a prospective method for reconstructing noise-hidden weak signals in all-optical signal processing systems.http://dx.doi.org/10.1063/1.4871406 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xuefeng Li Guangzhan Cao Hongjun Liu |
spellingShingle |
Xuefeng Li Guangzhan Cao Hongjun Liu Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity AIP Advances |
author_facet |
Xuefeng Li Guangzhan Cao Hongjun Liu |
author_sort |
Xuefeng Li |
title |
Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity |
title_short |
Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity |
title_full |
Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity |
title_fullStr |
Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity |
title_full_unstemmed |
Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity |
title_sort |
aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity |
publisher |
AIP Publishing LLC |
series |
AIP Advances |
issn |
2158-3226 |
publishDate |
2014-04-01 |
description |
Based on solving numerically the generalized nonlinear Langevin equation describing the nonlinear dynamics of stochastic resonance by Fourth-order Runge-Kutta method, an aperiodic stochastic resonance based on an optical bistable system is numerically investigated. The numerical results show that a parameter-tuning stochastic resonance system can be realized by choosing the appropriate optical bistable parameters, which performs well in reconstructing aperiodic signals from a very high level of noise background. The influences of optical bistable parameters on the stochastic resonance effect are numerically analyzed via cross-correlation, and a maximum cross-correlation gain of 8 is obtained by optimizing optical bistable parameters. This provides a prospective method for reconstructing noise-hidden weak signals in all-optical signal processing systems. |
url |
http://dx.doi.org/10.1063/1.4871406 |
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