2008
DOI: 10.1142/s0218127408021579
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Effects of the Shape of Periodic Forces on Stochastic Resonance

Abstract: We study the influence of the shapes of three different external periodic forces on the stochastic resonance phenomenon in multiple potential well systems with Gaussian noise. We consider as external periodic forces the sine wave, the modulus of sine wave and the rectified sine wave. The systems of our interest are two coupled overdamped anharmonic oscillators and the Duffing oscillator. For fixed values of the parameters, when the intensity D of the external noise is varied, the systems with these periodic fo… Show more

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Cited by 13 publications
(9 citation statements)
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“…The vibrational resonance phenomenon has been found in the double-well Duffing oscillator, [2][3][4] spatially extended, 5 excitable 6 systems, an overdamped bistable system, [7][8][9] and overdamped two-coupled anharmonic oscillators. 10,11 The effects of noise on vibrational resonance have also been ana-lyzed in certain systems. 7,12,13 Experimental evidence of vibrational resonance was found in a bistable vertical cavity surface emitting laser 13 and an optical system.…”
Section: Introductionmentioning
confidence: 99%
“…The vibrational resonance phenomenon has been found in the double-well Duffing oscillator, [2][3][4] spatially extended, 5 excitable 6 systems, an overdamped bistable system, [7][8][9] and overdamped two-coupled anharmonic oscillators. 10,11 The effects of noise on vibrational resonance have also been ana-lyzed in certain systems. 7,12,13 Experimental evidence of vibrational resonance was found in a bistable vertical cavity surface emitting laser 13 and an optical system.…”
Section: Introductionmentioning
confidence: 99%
“…The output SNR of the system of nonlinear stochastic resonance is 0 0 10 log( ( ) / ( )) SNRout S w N w = When nonlinear stochastic resonance system is the best stage, the corresponding SNR output is also to the maximum. Adaptive stochastic resonance system design based on the SNR parameters of the system output [5]. That is, whether to achieve maximum SNR of the nonlinear system output to determine whether the system achieve optimal stochastic resonance state, use a LRS dynamic regulation of nonlinear stochastic resonance parameters a, u, thereby regulating the barrier of nonlinear stochastic resonance system U ∆ .The following analytical expression is for the adaptive stochastic resonance algorithm.…”
Section: Research and Implementation Of Adaptive Stochastic Resonancementioning
confidence: 99%
“…1 shows an application example of SR in image detection. Several methods have been presented to enhance the resonance effects for various applications, for instance, altering the shape of the potential and periodic forces of a single system [Wio & Bouzat, 1999;Gandhimathi et al, 2008;Arathi et al, 2011] or coupling several subsystems to obtain an enhanced collective response [Jung et al, 1992;Lindner et al, 1995;Morillo et al, 1995;Kang & Jiang, 2009;Nicolis & Nicolis, 2017]. Specifically, the earliest investigation on the collective response can be dated back to the work based on nonlinear master equations [Jung et al, 1992].…”
Section: Introductionmentioning
confidence: 99%