Enabling adaptive and enhanced acoustic sensing using nonlinear dynamics

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dc.contributor.author Lenk, Claudia
dc.contributor.author Seeber, Lars
dc.contributor.author Ziegler, Martin
dc.contributor.author Hövel, Philipp
dc.contributor.author Gutschmidt, Stefanie
dc.date.accessioned 2021-07-19T13:21:45Z
dc.date.available 2021-07-19T13:21:45Z
dc.date.issued 2020-09-28
dc.identifier.citation Lenk, C., Seeber, L., Ziegler, M., Hövel, P. and Gutschmidt, S. (2020) 'Enabling adaptive and enhanced acoustic sensing using nonlinear dynamics', 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 10-21 October. doi: 10.1109/ISCAS45731.2020.9181214 en
dc.identifier.startpage 1 en
dc.identifier.endpage 4 en
dc.identifier.isbn 978-1-7281-3320-1
dc.identifier.issn 2158-1525
dc.identifier.uri http://hdl.handle.net/10468/11576
dc.identifier.doi 10.1109/ISCAS45731.2020.9181214 en
dc.description.abstract Transmission of real-time data is strongly increasing due to remote processing of sensor data, among other things. A route to meet this demand is adaptive sensing, in which sensors acquire only relevant information using pre-processing at sensor level. We present here adaptive acoustic sensors based on mechanical oscillators with integrated sensing and actuation. Their dynamics are shifted into a nonlinear regime using feedback or coupling. This enhances dynamic range, frequency resolution and signal-to-noise ratio. Combining tunable sensing properties with sound analysis could enable acquiring of only relevant information rather than extracting this from irrelevant data by post-processing. en
dc.description.sponsorship Deutsche Forschungsgemeinschaft (Research Unit RU 2093 Memristive Devices for Neural Systems); Bundesministerium für Bildung und Forschung (Forschungslabor Mikroelektronik Deutschland: ForLab NSME FKZ: 16ES0939) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.uri https://ieeexplore.ieee.org/abstract/document/9181214
dc.relation.uri https://www.iscas2020.org/
dc.rights © 2020, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Sensors en
dc.subject Couplings en
dc.subject Oscillators en
dc.subject Acoustic beams en
dc.subject Resonant frequency en
dc.subject Actuators en
dc.subject Loudspeakers en
dc.title Enabling adaptive and enhanced acoustic sensing using nonlinear dynamics en
dc.type Conference item en
dc.internal.authorcontactother Philipp Hoevel, Mathematical Sciences, University College Cork, Cork, Ireland. +353-21-490-3000 Email: philipp.hoevel@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2021-07-19T12:21:16Z
dc.description.version Accepted Version en
dc.internal.rssid 567974831
dc.contributor.funder Deutsche Forschungsgemeinschaft en
dc.contributor.funder Bundesministerium für Bildung und Forschung en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked No Upload as suggested by email today-19.07.2021
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Seville, Spain en
dc.internal.IRISemailaddress philipp.hoevel@ucc.ie en


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