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Relevant bibliographies by topics / Phenomenon of stochastic resonance

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Academic literature on the topic 'Phenomenon of stochastic resonance'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Phenomenon of stochastic resonance"

1

Anishchenko, Vadim, and Aleksander Neiman. "Stochastic resonance and stochastic synchronization." Izvestiya VUZ. Applied Nonlinear Dynamics 5, no. 1 (1997): 5–14. http://dx.doi.org/10.18500/0869-6632-1997-5-1-5-14.

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The fundamental phenomenon of synchronization occurs in non-lirear self—sustained oscillators subjecled to а periodic force or coupled with each other. This phenomenon manifests itself in locking or suppressing of the natural frequency of the oscillator by periodic force. In this paper we discuss surprising synchronization like phenomena in stochastic bistable systems which have no natural frequency at all. A stochastic bistable system possesses а noise—controlled mean switching frequeicy between metastable states being ап analogy of the natural frequency. The stochastic synchronization reveal

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SOROKIN, VLADISLAV, and ILIYA BLEKHMAN. "On the stochastic resonance phenomenon in parametrically excited systems." European Journal of Applied Mathematics 30, no. 5 (2018): 986–1003. http://dx.doi.org/10.1017/s0956792518000608.

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The stochastic resonance phenomenon implies “positive” changing of a system behaviour when noise is added to the system. The phenomenon has found numerous applications in physics, neuroscience, biology, medicine, mechanics and other fields. The present paper concerns this phenomenon for parametrically excited stochastic systems, i.e. systems that feature deterministic input signals that affect their parameters, e.g. stiffness, damping or mass properties. Parametrically excited systems are now widely used for signal sensing, filtering and amplification, particularly in micro- and nanoscale appl

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Yang, Xiao Li, and Xiao Qiang Liu. "How electromagnetic induction and coupled delay affect stochastic resonance in a modified neuronal network subject to phase noise." International Journal of Modern Physics B 33, no. 26 (2019): 1950302. http://dx.doi.org/10.1142/s0217979219503028.

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Through introducing the ingredients of electromagnetic induction and coupled time delay into the original Fitzhugh–Nagumo (FHN) neuronal network, the dynamics of stochastic resonance in a model of modified FHN neuronal network in the environment of phase noise is explored by numerical simulations in this study. On one hand, we demonstrate that the phenomenon of stochastic resonance can appear when the intensity of phase noise is appropriately adjusted, which is further verified to be robust to the edge-added probability of small-world network. Moreover, under the influence of electromagnetic i

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Kittel, A., R. Richter, M. Hirsch, G. Flätgen, J. Peinke, and J. Parisi. "Stochastic Resonance in Experiment." Zeitschrift für Naturforschung A 48, no. 5-6 (1993): 633–35. http://dx.doi.org/10.1515/zna-1993-5-606.

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Abstract We observe the phenomenon of stochastic resonance in a semiconductor experiment. Originally, such an effect was predicted for bistable dynamical systems that are influenced by a periodic modulation as well as a random perturbation. In that case, a "resonance" peak can be observed in the power spectrum. The phenomenon investigated is the low-temperature impact ionization breakdown. There, bistability results from the competing states of low and high conductance.

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Zhou, Deng Rong, Jian Chun Gong, and Fang Ling Fan. "A Stochastic Resonance Phenomenon in Linear Models." Applied Mechanics and Materials 401-403 (September 2013): 1301–4. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1301.

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When there exist certain kinds of matching in an electric system between the nonlinear input and noise, amplifying the input noise may dramatically increase the output SNR other than decrease it. And stochastic resonance is a phenomenon that when noise is input at certain amplitude the output SNR reaches its peak. Generalized stochastic resonance is the kind of nonlinear phenomena that the output (output SNR, output mean value, etc.) is a non-monotonic function of some parameter of noise (amplitude, correlation time) or input (amplitude, frequency). We studied the phenomenon of stochastic reso

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ANISHCHENKO, V. S., M. A. SAFONOVA, and L. O. CHUA. "STOCHASTIC RESONANCE IN CHUA’S CIRCUIT." International Journal of Bifurcation and Chaos 02, no. 02 (1992): 397–401. http://dx.doi.org/10.1142/s0218127492000379.

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In this paper, we report numerical observations of the stochastic resonance (SR) phenomenon in a bistable chaotic electronic circuit (namely, Chua’s circuit) driven simultaneously by noise and a sinusoidal signal. It is shown that the noise-induced “chaos-chaos” type intermittency is a physical mechanism of the SR-phenomenon in chaotic systems. The resulting amplification of the sinusoidal signal intensity is due to a coherent interaction of three characteristic frequencies of the system. The SR-phenomenon can be controlled by a variation of either the noise intensity or the system parameters

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Tsindlekht, M. I., I. Felner, M. Gitterman, and B. Ya Shapiro. "Stochastic resonance phenomenon in single-crystal Nb." Physica C: Superconductivity 341-348 (November 2000): 1191–92. http://dx.doi.org/10.1016/s0921-4534(00)00854-6.

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Lanfranco, Sebastian, Lucas Horacio Mazzini, Alfredo Eduardo Dominguez, and Jorge Luis Naguil. "Watermark Detector Based on Stochastic Resonance Phenomenon." IEEE Latin America Transactions 11, no. 1 (2013): 396–401. http://dx.doi.org/10.1109/tla.2013.6502836.

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Fallon, James B., and David L. Morgan. "Fully Tuneable Stochastic Resonance in Cutaneous Receptors." Journal of Neurophysiology 94, no. 2 (2005): 928–33. http://dx.doi.org/10.1152/jn.00232.2005.

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Stochastic resonance describes a phenomenon whereby the addition of “noise” to the input of a nonlinear system can improve sensitivity. “Fully tuneable stochastic resonance” is a particular form of the phenomenon that requires the matching of two time scales: one being that of the subthreshold periodic stimulus of the system and the other being the noise-induced response of the system. First proposed in 1981, stochastic resonance has been reported in a wide range of biological systems; however, conclusive experimental evidence for fully tuneable stochastic resonance in biological systems is li

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Yang, Shan, Zening Fan, and Ruibin Ren. "The Stochastic Resonance Phenomenon of Different Noises in Underdamped Bistable System." Advances in Mathematical Physics 2021 (February 10, 2021): 1–9. http://dx.doi.org/10.1155/2021/4614919.

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In this paper, the stochastic resonance (SR) phenomenon of four kinds of noises (the white noise, the harmonic noise, the asymmetric dichotomous noise, and the Lévy noise) in underdamped bistable systems is studied. By applying theory of stochastic differential equations to the numerical simulation of stochastic resonance problem, we simulate and analyze the system responses and pay close attention to stochastic control in the proposed systems. Then, the factors of influence to the SR are investigated by the Euler-Maruyama algorithm, Milstein algorithm, and fourth-order Runge-Kutta algorithm,

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Dissertations / Theses on the topic "Phenomenon of stochastic resonance"

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Zaikin, Alexei. "Noise induced transitions and resonant effects in nonlinear systems." Thesis, [S.l. : s.n.], 2002. http://pub.ub.uni-potsdam.de/2003/0017/zaikin.pdf.

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Buchin, Anatoly. "Modeling of single cell and network phenomena of the nervous system : ion dynamics during epileptic oscillations and inverse stochastic resonance." Thesis, Paris, Ecole normale supérieure, 2015. http://www.theses.fr/2015ENSU0041/document.

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Dans cette thèse nous avons utilisé des méthodes de systèmes dynamiques et des simulations numériques pour étudier les mécanismes d'oscillations d'épilepsie associés à des concentrations d’ions dynamiques et au comportement bimodal des cellules Purkinje du cervelet. Le propos général de ce travail est l'interaction entre les propriétés intrinsèques des neurones simple et la structure d'entrée synaptique contrôlant l'excitabilité neuronale. Dans la première partie de la thèse nous avons développé un modèle de transition de crise épileptique dans le lobe temporal du cerveau. Plus précisément nou

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Ullner, Ekkehard. "Noise-induced phenomena of signal transmission in excitable neural models." Phd thesis, [S.l. : s.n.], 2004. http://pub.ub.uni-potsdam.de/2004/0052/ullner.pdf.

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Луговой, К. В., Ігор Олександрович Князь, Игорь Александрович Князь та Ihor Oleksandrovych Kniaz. "Моделирование эффекта возникновения стохастического резонанса в бистабильных системах". Thesis, Сумский государственный университет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/65362.

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В представленной работе исследована конструктивная роль шума, сопровождаемого слабым гармоническим сигналом, в системе двух связанных осцилляторов, при этом параметр взаимодействия, уровень шума, время корреляции, частота и амплитуда сигнала являются ключевыми параметрами. В работе продемонстрирована возможность реализации стохастического резонанса при малых значениях коэффициента трения.

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Lopes, Marinho Antunes. "Phase transitions and nonlinear phenomena in neuronal network models." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14132.

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Doutoramento em Física<br>Communication and cooperation between billions of neurons underlie the power of the brain. How do complex functions of the brain arise from its cellular constituents? How do groups of neurons self-organize into patterns of activity? These are crucial questions in neuroscience. In order to answer them, it is necessary to have solid theoretical understanding of how single neurons communicate at the microscopic level, and how cooperative activity emerges. In this thesis we aim to understand how complex collective phenomena can arise in a simple model of neuronal

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Vedin, Robert. "Stochastic Resonance." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193632.

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Noise is often viewed as something unfortunate and unavoidable, however with the development of Stochastic Resonance (SR) theory it has been shown to have beneficial effects in many non-linear systems. We have explored the SR phenomenon via numerical simulations of two such systems. The first one is a one-dimensional Brownian particle in a bi-stable potential and the second a simple model of a signal neuron both subject to a periodic input signal. We have investigated the system responses for different input signal frequencies and noise levels in order to determine both an optimal noise level

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Kondo, Shingo, and Masahiro Ohka. "Stochastic resonance aided tactile sensing." Cambridge University Press, 2009. http://hdl.handle.net/2237/14323.

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Fallon, James Bernard 1975. "Stochastic resonance in biological systems." Monash University, Dept. of Electrical and Computer Systems Engineering, 2001. http://arrow.monash.edu.au/hdl/1959.1/9024.

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Drozhdin, Konstantin. "Stochastic resonance in ferroelectric TGS crystals." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=964278243.

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DeMino, Kenneth William. "Shot noise approach to stochastic resonance." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/27968.

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Books on the topic "Phenomenon of stochastic resonance"

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Andò, Bruno, and Salvatore Graziani, eds. Stochastic Resonance. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4391-6.

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1975-, McDonnell Mark D., ed. Stochastic resonance: From suprathreshold stochastic resonance to stochastic signal quantization. Cambridge University Press, 2008.

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Bruno, Andò, and Graziani Salvatore, eds. Stochastic resonance: Theory and applications. Kluwer Academic Publishers, 2000.

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Haim, Levanon, ed. Stochastic processes in magnetic resonance. World Scientific, 1995.

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Herrmann, Samuel. Stochastic resonance: A mathematical approach in the small noise limit. American Mathematical Society, 2014.

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Abbott, Derek, Nigel G. Stocks, Charles E. M. Pearce, and Mark D. McDonnell. Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization. Cambridge University Press, 2008.

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McDonnell, Mark D. Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization. Cambridge University Press, 2008.

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Abbott, Derek, Nigel G. Stocks, Charles E. M. Pearce, and Mark D. McDonnell. Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization. Cambridge University Press, 2009.

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Mcdonnell, Mark D., Derek Abbott, Nigel G. Stocks, and Charles E. M. Pearce. Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization. Cambridge University Press, 2008.

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Abbott, Derek, Nigel G. Stocks, Charles E. M. Pearce, and Mark D. McDonnell. Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization. Cambridge University Press, 2012.

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Book chapters on the topic "Phenomenon of stochastic resonance"

1

Kalashnikov, Vladimir L., and Sergey V. Sergeyev. "Stochastic Anti-Resonance in Polarization Phenomena." In Understanding Complex Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29701-9_10.

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Gammaitoni, L., S. Santucci, M. Giordano, M. Martinelli, and L. Pardi. "Bistability and Stochastic Resonance in Electron Paramagnetic Resonance." In 25th Congress Ampere on Magnetic Resonance and Related Phenomena. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76072-3_219.

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Ruth, Matthias, and Bruce Hannon. "Stochastic Resonance." In Modeling Dynamic Biological Systems. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_16.

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Wiesenfeld, Kurt, Thomas Wellens, and Andreas Buchleitner. "Stochastic Resonance." In Coherent Evolution in Noisy Environments. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_3.

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Hannon, Bruce, and Matthias Ruth. "Stochastic Resonance." In Modeling Dynamic Biological Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9_16.

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Rajasekar, Shanmuganathan, and Miguel A. F. Sanjuan. "Stochastic Resonance." In Springer Series in Synergetics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24886-8_2.

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Zhou, Tianshou. "Stochastic Resonance." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_512.

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Bolotin, Yurii, Anatoli Tur, and Vladimir Yanovsky. "Stochastic Resonance." In Understanding Complex Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00937-2_7.

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Bolotin, Yurii, Anatoli Tur, and Vladimir Yanovsky. "Stochastic Resonance." In Understanding Complex Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42496-5_7.

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Andò, Bruno, and Salvatore Graziani. "Review of Noise Added Systems Literature." In Stochastic Resonance. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4391-6_1.

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Conference papers on the topic "Phenomenon of stochastic resonance"

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Shi, Jianwei, Shenguang Gong, and Runxiang Jiang. "The phenomenon of stochastic resonance with ship hydrodynamic pressure field." In 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS). IEEE, 2009. http://dx.doi.org/10.1109/peits.2009.5406763.

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Roy, Rajarshi, B. Mcnamara, and K. Wiesenfeld. "Observation of stochastic resonance in a ring laser." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.tuo1.

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The phenomenon of stochastic resonance was introduced by Benzi et al.1 to explain the periodicity of the earth’s ice ages. The primary signature of the phenomenon is that the addition of random noise can improve the SNR of a periodically modulated system, relative to that observed with no externally injected noise. We report the first observation of stochastic resonance in an optical device, the bistable ring laser. The experiment exploits a new technique to modulate periodically the asymmetry between the two counterrotating lasing modes. Large enhancements of the SNR of up to 11 dB have been

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Su, Dongxu, Kimihiko Nakano, Honggang Hu, Matthew P. Cartmell, Masanori Ohori, and Rencheng Zheng. "Further Application of Stochastic Resonance for Energy Harvesting." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3864.

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In addition to the wide range of applications of stochastic resonance in the field of signal processing, the phenomenon has also been investigated as an effective tool for enhancing vibrational energy harvesting. This paper proposes a hypothetical method for achieving stochastic resonance and increasing the available energy from external ambient vibration. In order to illustrate this proposal, a bistable mechanical system is proposed to study the feasibility by theoretical analysis. The amount of available energy and the energy consumed to produce the small-scale additional force is analyzed t

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Rung, Johan. "A statistical framework for the description of stochastic resonance phenomena." In Stochastic and chaotic dynamics in the lakes. AIP, 2000. http://dx.doi.org/10.1063/1.1302414.

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Kasai, Seiya. "Stochastic resonance and related phenomena in nonlinear electron nanodevices." In 2014 IEEE International Nanoelectronics Conference (INEC). IEEE, 2014. http://dx.doi.org/10.1109/inec.2014.7460454.

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Sharpe, John P., Dominic C. O’Brien, and Garret Moddel. "Noise induced switching and stochastic resonance in an optically addressed spatial light modulator." In Spatial Light Modulators and Applications. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/slma.1995.ltuc8.

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Since it was first adduced as a possible explanation for the periodic occurrence of the earths ice ages [1] [2], the phenomenon of stochastic resonance has been extensively investigated, both theoretically and experimentally. An intuitive understanding of the phenomenon may be developed by considering figure 1(a) which shows a particle in a double potential well. Under a large periodic perturbation of the wells (1(b)) the particle can escape from well to well, and if we regard the particle position as the observable or signal then the power spectrum of this signal will exhibit a large peak at

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Krauss, P., A. Schilling, K. Tziridis, and H. Schulze. "A possible new tinnitus therapy based on Stochastic Resonance phenomena." In Abstract- und Posterband – 89. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Forschung heute – Zukunft morgen. Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1640429.

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Liu, Gaohui, and Te Li. "Stochastic Resonance Phenomenon of Bistable System Driven by Binary Phase Shift Keying Signal under the Alpha Stable Noise." In 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/icadme-17.2017.69.

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Wang, Yan. "Accelerating Stochastic Dynamics Simulation With Continuous-Time Quantum Walks." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59420.

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Stochastic diffusion is a general phenomenon observed in various national and engineering systems. It is typically modeled by either stochastic differential equation (SDE) or Fokker-Planck equation (FPE), which are equivalent approaches. Path integral is an accurate and effective method to solve FPEs. Yet, computational efficiency is the common challenge for path integral and other numerical methods, include time and space complexities. Previously, one-dimensional continuous-time quantum walk was used to simulate diffusion. By combining quantum diffusion and random diffusion, the new approach

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He, Xiaoling. "Nonlinear Vibration of a Thin Laminate Due to the Stochastic Thermal Diffusion." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86335.

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We study the thermally induced nonlinear vibration of a laminate associated with the stochastic thermal diffusion. The stochastic diffusion process occurs in the conductive laminate with white noise. We consider the thermal field with temperature variation both in-plane and transverse to the plane of lamina. Our interest is to examine the stochastic resonance behavior due to different noise sources and noise strength. The equation of motion for the laminate is based on the decoupled modal form Duffing equation developed in our earlier study for the laminate in a simply supported boundary condi

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Reports on the topic "Phenomenon of stochastic resonance"

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Albert, T. R., A. R. Bulsara, G. Schmera, and M. Inchiosa. An Evaluation of the Stochastic Resonance Phenomenon as a Potential Tool for Signal Processing. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada281180.

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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and ope

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Wu, Xingxing, Zhong-Ping Jiang, Daniel W. Repperger, and Yi Guo. Enhancement of Stochastic Resonance Using Optimization Theory. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada460357.

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Michels, James H., Hao Chen, Pramod K. Varshney, and Steven M. Kay. Stochastic Resonance in Signal Detection and Human Perception. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada450949.

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Repperger, Daniel W., Alan R. Pinkus, Julie A. Skipper, and Christina D. Schrider. Stochastic Resonance Investigation of Object Detection in Images. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada472478.

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Repperger, Daniel W., C. A. Phillips, James E. Berlin, A. Neidhard, and Michael W. Haas. Designing Human-Machine Interfaces Using Principles of Stochastic Resonance. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada412330.

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Wiesenfeld, Kurt. Novel Applications of Stochastic Resonance and Spatiotemporal Chaos Control. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada353456.

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Brown, David A. A tale of two tools: mcres.py, a stochastic resonance generator, and grokres.py, a resonance quality assurance tool. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1478482.

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Xu, Bohou, Xingxing Wu, Zhong-Ping Jiang, and Daniel W. Repperger. Theoretical Analysis of Image Processing Using Parameter-Tuning Stochastic Resonance Technique. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada472486.

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Carr, Dustin Wade, and Roy H. Olsson. A digital accelerometer array utilizing suprathreshold stochastic resonance for detection of sub-Brownian noise floor accelerations. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/920745.

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