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|Title:||Exploiting vibrational resonance in weak-signal detection|
|Citation:||Phyiscal Review E, 2017; 96(2):022141|
|Publisher:||American Physical Society|
|Yuhao Ren, Yan Pan, Fabing Duan, François Chapeau-Blondeau and Derek Abbott|
|Abstract:||In this paper, we investigate the first exploitation of the vibrational resonance (VR) effect to detect weak signals in the presence of strong background noise. By injecting a series of sinusoidal interference signals of the same amplitude but with different frequencies into a generalized correlation detector, we show that the detection probability can be maximized at an appropriate interference amplitude. Based on a dual-Dirac probability density model, we compare the VR method with the stochastic resonance approach via adding dichotomous noise. The compared results indicate that the VR method can achieve a higher detection probability for a wider variety of noise distributions.|
|Rights:||©2017 American Physical Society|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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