Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/114301
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ren, Y. | - |
dc.contributor.author | Pan, Y. | - |
dc.contributor.author | Duan, F. | - |
dc.contributor.author | Chapeau-Blondeau, F. | - |
dc.contributor.author | Abbott, D. | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Physical Review E, 2017; 96(2):022141-022141 | - |
dc.identifier.issn | 2470-0045 | - |
dc.identifier.issn | 2470-0053 | - |
dc.identifier.uri | http://hdl.handle.net/2440/114301 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Yuhao Ren, Yan Pan, Fabing Duan, François Chapeau-Blondeau and Derek Abbott | - |
dc.language.iso | en | - |
dc.publisher | American Physical Society | - |
dc.rights | ©2017 American Physical Society | - |
dc.source.uri | http://dx.doi.org/10.1103/physreve.96.022141 | - |
dc.title | Exploiting vibrational resonance in weak-signal detection | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1103/PhysRevE.96.022141 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Abbott, D. [0000-0002-0945-2674] | - |
Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
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