Skip to main content

News about Scitation

In December 2016 Scitation will launch with a new design, enhanced navigation and a much improved user experience.

To ensure a smooth transition, from today, we are temporarily stopping new account registration and single article purchases. If you already have an account you can continue to use the site as normal.

For help or more information please visit our FAQs.

banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
1. R. Benzi, A. Sutera, and A. Vulpiani, “The mechanism of stochastic resonance,” J. Phys. A: mathematical and general 14, L453L457 (1981).
2. R. Benzi, G. Parisi, A. Strea, and A. Vulpiani, “Stochastic resonance in climatic change,” Tellus 34, 1016 (1982).
3. A. Longtin, A. Bulsara, and F. Moss, “Time-interval sequences in bistable systems and the noise-induced transmission of information by sensory neurons,” Phys. Rev. Lett. 67(5), 656659 (1991).
4. K. Wiesenfeld and F. Moss, “Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs,” Nature 373, 3336 (1995).
5. S. Fauve and F. Heslot, “Stochastic resonance in a bistable system,” Phys. Lett. A 97, 57 (1983).
6. W. Hohmann, D. Lebender, J. Müller, N. Schinor, and F. W. Schneider, “Enhancement of the production rate in chemical reactions with thresholds,” J. Phys. Chem. A 101(48), 91329136 (1997).
7. J. K. Douglass, L. Wilkens, E. Pantazelou, and F. Moss, “Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance,” Nature 365, 337340 (1993).
8. B. McNamara and K. Wiesenfeld, “Theory of Stochastic Resonnace,” Phys.Rev.A 39(9), 48544869 (1989).
9. L. Gmamaitoni, F. Marchesoni, Menichella-SaettaE, and S. Santucci, “Stochastic Resonance in Bistable Systems,” Phys. Rev. Lett. 62, 349352 (1989).
10. L. Gammaitoni, F. Marchesoni, S. Santucci, “Stoehastic Resonance as a Bona Fide Resonance,” Phys. Rev. Lett. 74, 10521055 (1995).
11. J. J. Collins, C. C. Chow, and T. T. Imhoff, “Aperiodic Stochastic Resonance in Excitable Systems,” Phys. Rev. E 52, R3321R3324 (1995).
12. C. Heneghan and C. C. Chow, “Information Measuers Quantiyfing Aperiodic Stochastic Resonnace,” Phys. Rev. E 54, R2228R2231 (1996).
13. A. R. Bulsara and L. Gammaitoni, “Tuning to Noise,” Physics Today 3, 39 (1996).
14. Bohou Xu, Fabing Duna, Ronghao Bao, and Jianlong Li, “Stochastic Resonance with Tuning System Parameters: The Application of Bistable Systems in signal Processing,” Chaos, Solitons and fractals 13, 633644 (2002).
15. N. G. Stocks and N. D. Stein, “Stochastic Resonance in Monostable Systems,” J. Phys. A: Math, Gen 26, L385L390 (1993).
16. G. D. Van Wiggeren, R. Vilaseca, and R. Corbalan, “Communication with Chaotic Lasers,” Science 279, 11981200 (1998).
17. T. Ditzinger, M. Stadler, D. Struber, and J. A. S. Kelso, “Noise Improve Three-dimensional perception: Stochastic Resonance and Other Impacts of Noise to the Perception of Auto stereograms,” Phys. Rev. E 62, 25662575 (2000).
18. B. McNamara, K. Wiesenfield, and R. Roy, “Observation of Stochastic Resonance in a Ring Laser,” Phys. Rev. Lett. 60, 26262629 (1988).
19. I. Dayan, M. Gitterman, and G. H. Weiss, “Stochastic resonance in transient dynamics,” Phys. Rev. A 46, 757761 (1992).
20. Li Zhang, Li Cao, and Da-jin Wu, “Effect of correlated noises in an optical bistable system,” Phys. Rev. A 77, 0158014 (2008).
21. M. Misono, T. Kohmoto, Y. Fukuda and M. Kunitomo, “Stochastic resonance in an optical bistable system driven by colored noise,” Optics Communications 152, 255258 (1998).
22. P. Wan, Y. Zhan, and H. Zheng, “High signal-to-noise ratio gain by SR in an unconventional bistable system,” Computer Science and Automation Engineering (CSAE), International Conference on. IEEE 4, 652655 (2011).
23. A. R. Bulsara, W. C. Schieve, and E. W. Jacobs, “Homoclinic chaos in systems perturbed by weak Langevin noise,” Phys. Rev. A 41, 668681 (1990).
24. P. Jung and P. Hänggi, “Resonantly driven Brownian motion: Basic concepts and exact results,” Phys. Rev. A 41, 29772988 (1990).
25. J. E. Ford, J. Ma, Y. Fainman, and S. H. Lee, “Multiplex holography in strontium barium niobate with applied field,” J. Opt. Soc. Am. B 9, 11831192 (1992).
26. M. Cronin-Golomb, B. Fischer, J. O. White, and A. Yariv, “Theory and Application of Four Wave Mixing in Photorefractive Materials,” IEEE J. Quantum Electron. QE-20, 1230 (1984).
27. S. K. Kwong, M. Cronin-Golomb, and A. Yariv, “Oscillation with photorefractive gain,” IEEE J. Quantum Electron. QE-22, 15081523 (1986).
28. R. Bartussek and P. Hänggi, “Stochastic resonance in optical bistable systems,” Phys. Rev. E 49, 39303940 (1994).
29. R. Bonifacio and L. A. Lugiato, “Optical bistability and cooperative effects in resonance fluorescence,” Phys. Rev. A 18, 11291144 (1978).
30. A. S. Asdi and A. H. Tewfik, “Detection of weak signals using adaptive stochastic resonance,” IEEE Trans. Signal Proc. 2, 13321335 (1995).
31. Pochi Yeh, “Theory of unidirectional photorefractive ring oscillators,” J. Opt. Soc. Am. B 2, 19241928 (1985).
32. Jian Ma, Daniel Zeng, and Hsinchun Chen, “Spatial-Temporal Cross-Correlation Analysis: A New Measure and a Case Study in Infectious Disease Informatics,” IEEE International Conference on Intelligence and Security Informatics 542547 (2006).

Data & Media loading...


Article metrics loading...



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.


Full text loading...


Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd