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Biologically inspired analogue signal processing: some results towards developing next generation signal analyzers

Biologically inspired analogue signal processing: some results towards developing next generation signal analyzers
Biologically inspired analogue signal processing: some results towards developing next generation signal analyzers
In this work we describe the possibility of designing an analogue signal analyzer taking inspiration from biological and chemical information processing methodology present in the nature. The principal component of such a system is an adaptive-frequency Hopf oscillator. Using the proposed methodology it is possible to carry out Fourier as well as time-frequency analysis of a signal (similar to wavelet analysis) without changing the underlying circuit structure. This work may provide a route to a computationally superior and less power consuming next-generation signal processing system. Some open issues for making such an approach to practice are also discussed.
542-5
IEEE
Maharatna, K.
93bef0a2-e011-4622-8c56-5447da4cd5dd
Ahmadi, A.
d66d59bd-f54c-4ad9-9f87-5d216d1fef1b
Magieri, E.
04cd44ab-2380-40ed-8536-b81c41e690b9
Maharatna, K.
93bef0a2-e011-4622-8c56-5447da4cd5dd
Ahmadi, A.
d66d59bd-f54c-4ad9-9f87-5d216d1fef1b
Magieri, E.
04cd44ab-2380-40ed-8536-b81c41e690b9

Maharatna, K., Ahmadi, A. and Magieri, E. (2009) Biologically inspired analogue signal processing: some results towards developing next generation signal analyzers. In Proceedings of the 2009 12th International Symposium on Integrated Circuits. IEEE. pp. 542-5 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this work we describe the possibility of designing an analogue signal analyzer taking inspiration from biological and chemical information processing methodology present in the nature. The principal component of such a system is an adaptive-frequency Hopf oscillator. Using the proposed methodology it is possible to carry out Fourier as well as time-frequency analysis of a signal (similar to wavelet analysis) without changing the underlying circuit structure. This work may provide a route to a computationally superior and less power consuming next-generation signal processing system. Some open issues for making such an approach to practice are also discussed.

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More information

Published date: 2009
Additional Information: Imported from ISI Web of Science
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 270590
URI: https://eprints.soton.ac.uk/id/eprint/270590
PURE UUID: 44c44d30-4f19-4879-8eb3-1ff8edb6b0b8

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Date deposited: 21 Apr 2010 07:46
Last modified: 19 Jul 2019 16:58

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Contributors

Author: K. Maharatna
Author: A. Ahmadi
Author: E. Magieri

University divisions

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