Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation
Guerreiro, José and Jackson, Joseph C. and Windmill, James F. C.; (2019) Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation. In: 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, GBR, pp. 1478-1482. ISBN 978-1-4799-8131-1 (https://doi.org/10.1109/ICASSP.2019.8682831)
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Abstract
Engineering acoustic sensors and systems that can be sensitive to small sound levels even when immersed by background noise may require out-of-the-box thinking. Biology can provide inspiration for that, allowing the engineering landscape to borrow interesting ideas and thus solve current human problems. Biological sensor and system designs are a result of many million years of evolutionary processes, which make them very-power efficient and well-adapted to perform their function in a living organism. This paper presents a theoretical study of a bio-inspired signal processing concept. The assumption is that by exploiting feedback computation between a front-end acoustic detector and a back-end neuronal based processing, the overall acoustic responsiveness of a sensory system can be controlled and enhanced to target signals of interest. Here, two methods of feedback signal entrainment are compared namely 1:1 and 2:1 resonance modes.
ORCID iDs
Guerreiro, José ORCID: https://orcid.org/0000-0002-9187-0436, Jackson, Joseph C. and Windmill, James F. C. ORCID: https://orcid.org/0000-0003-4878-349X;-
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Item type: Book Section ID code: 68165 Dates: DateEvent1 May 2019Published17 April 2019Published Online1 February 2019AcceptedNotes: © 2019 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. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 03 Jun 2019 09:32 Last modified: 27 Nov 2024 01:29 URI: https://strathprints.strath.ac.uk/id/eprint/68165