Enabling adaptive and enhanced acoustic sensing using nonlinear dynamics
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.contributor.funder | Deutsche Forschungsgemeinschaft | en |
dc.contributor.funder | Bundesministerium für Bildung und Forschung | en |
dc.date.accessioned | 2021-07-19T13:21:45Z | |
dc.date.available | 2021-07-19T13:21:45Z | |
dc.date.issued | 2020-09-28 | |
dc.date.updated | 2021-07-19T12:21:16Z | |
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.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
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.doi | 10.1109/ISCAS45731.2020.9181214 | en |
dc.identifier.endpage | 4 | en |
dc.identifier.isbn | 978-1-7281-3320-1 | |
dc.identifier.issn | 2158-1525 | |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/11576 | |
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 |