Literature DB >> 27967030

Stochastic resonance subject to multiplicative and additive noise: The influence of potential asymmetries.

Zijian Qiao1, Yaguo Lei1, Jing Lin1, Shantao Niu1.   

Abstract

The influence of potential asymmetries on stochastic resonance (SR) subject to both multiplicative and additive noise is studied by using two-state theory, where three types of asymmetries are introduced in double-well potential by varying the depth, the width, and both the depth and the width of the left well alone. The characteristics of SR in the asymmetric cases are different from symmetric ones, where asymmetry has a strong influence on output signal-to-noise ratio (SNR) and optimal noise intensity. Even optimal noise intensity is also associated with the steepness of the potential-barrier wall, which is generally ignored. Moreover, the largest SNR in asymmetric SR is found to be relatively larger than the symmetric one, which also closely depends on noise intensity ratio. In addition, a moderate cross-correlation intensity between two noises is good for improving the output SNR. More interestingly, a double SR phenomenon is observed in certain cases for two correlated noises, whereas it disappears for two independent noises. The above clues are helpful in achieving weak signal detection under heavy background noise.

Year:  2016        PMID: 27967030     DOI: 10.1103/PhysRevE.94.052214

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  Adaptive Stochastic Resonance-Based Processing of Weak Magnetic Slippage Signals of Bearings.

Authors:  Jianpeng Ma; Chengwei Li; Guangzhu Zhang
Journal:  Entropy (Basel)       Date:  2022-01-19       Impact factor: 2.524

2.  Weak Defect Identification for Centrifugal Compressor Blade Crack Based on Pressure Sensors and Genetic Algorithm.

Authors:  Hongkun Li; Changbo He; Reza Malekian; Zhixiong Li
Journal:  Sensors (Basel)       Date:  2018-04-19       Impact factor: 3.576

  2 in total

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