Modeling and the signal-to-noise ratio research of magnetoelectric sensors at low frequency
dc.contributor | Virginia Tech | en |
dc.contributor.author | Xing, Zengping | en |
dc.contributor.author | Li, Jiefang | en |
dc.contributor.author | Viehland, Dwight D. | en |
dc.contributor.department | Materials Science and Engineering (MSE) | en |
dc.date.accessed | 2014-01-17 | en |
dc.date.accessioned | 2014-01-28T18:00:15Z | en |
dc.date.available | 2014-01-28T18:00:15Z | en |
dc.date.issued | 2007-10-01 | en |
dc.description.abstract | The authors have modeled magnetoelectric (ME) laminate sensor units by considering both the ME laminate and detection circuitry. Theory predicts and experiments confirm that the signal-to-noise ratio increases with increasing frequency in the low frequency range. Our findings provide useful insights into ME sensitivity estimation and "real-world" low frequency magnetic anomaly detection by ME sensors. (c) 2007 American Institute of Physics. | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Xing, Zengping; Li, Jiefang; Viehland, Dwight, "Modeling and the signal-to-noise ratio research of magnetoelectric sensors at low frequency," Appl. Phys. Lett. 91, 142905 (2007); http://dx.doi.org/10.1063/1.2794435 | en |
dc.identifier.doi | https://doi.org/10.1063/1.2794435 | en |
dc.identifier.issn | 0003-6951 | en |
dc.identifier.uri | http://hdl.handle.net/10919/25190 | en |
dc.identifier.url | http://scitation.aip.org/content/aip/journal/apl/91/14/10.1063/1.2794435 | en |
dc.language.iso | en_US | en |
dc.publisher | AIP Publishing | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Composite materials | en |
dc.subject | Physics | en |
dc.title | Modeling and the signal-to-noise ratio research of magnetoelectric sensors at low frequency | en |
dc.title.serial | Applied Physics Letters | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
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