Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/114301
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Exploiting vibrational resonance in weak-signal detection |
Author: | Ren, Y. Pan, Y. Duan, F. Chapeau-Blondeau, F. Abbott, D. |
Citation: | Physical Review E, 2017; 96(2):022141-022141 |
Publisher: | American Physical Society |
Issue Date: | 2017 |
ISSN: | 2470-0045 2470-0053 |
Statement of Responsibility: | 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 |
DOI: | 10.1103/PhysRevE.96.022141 |
Published version: | http://dx.doi.org/10.1103/physreve.96.022141 |
Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.