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Exploiting vibrational resonance in weak-signal detection.

Identifieur interne : 000760 ( PubMed/Corpus ); précédent : 000759; suivant : 000761

Exploiting vibrational resonance in weak-signal detection.

Auteurs : Yuhao Ren ; Yan Pan ; Fabing Duan ; François Chapeau-Blondeau ; Derek Abbott

Source :

Physical review. E [ 2470-0053 ] ; 2017.

RBID : pubmed:28950458

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.

DOI: 10.1103/PhysRevE.96.022141
PubMed: 28950458

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pubmed:28950458

Le document en format XML

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<author><name sortKey="Pan, Yan" sort="Pan, Yan" uniqKey="Pan Y" first="Yan" last="Pan">Yan Pan</name>
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<author><name sortKey="Duan, Fabing" sort="Duan, Fabing" uniqKey="Duan F" first="Fabing" last="Duan">Fabing Duan</name>
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<author><name sortKey="Chapeau Blondeau, Francois" sort="Chapeau Blondeau, Francois" uniqKey="Chapeau Blondeau F" first="François" last="Chapeau-Blondeau">François Chapeau-Blondeau</name>
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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText>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.</AbstractText>
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Exploiting vibrational resonance in weak-signal detection.

Exploiting vibrational resonance in weak-signal detection.

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Abstract

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