Signal extraction techniques for self-powered micro-systems
Signal extraction techniques for self-powered micro-systems
Over recent years there has been a grovying interest in the field of micro-systems and their applications across a wide range of areas, including sensor based micro-systems able to operate with full galvanic isolation. Two significant issues to consider when designing such remote sensor systems are the supply of power and the method of signal extraction. In general terms this thesis develops the concept of a self-powered micro- system (SPMS), eliminating the need for a battery with a finite service life. Within the context of such a micro-system particular attention is given to signal processing and novel signal extraction techniques. Experimental work is explained and potential commercial applications for such novel remote sensor systems are proposed.
University of Southampton
James, Edward Paul
b427bc31-372c-486a-acf6-a57885466a33
2003
James, Edward Paul
b427bc31-372c-486a-acf6-a57885466a33
James, Edward Paul
(2003)
Signal extraction techniques for self-powered micro-systems.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
Over recent years there has been a grovying interest in the field of micro-systems and their applications across a wide range of areas, including sensor based micro-systems able to operate with full galvanic isolation. Two significant issues to consider when designing such remote sensor systems are the supply of power and the method of signal extraction. In general terms this thesis develops the concept of a self-powered micro- system (SPMS), eliminating the need for a battery with a finite service life. Within the context of such a micro-system particular attention is given to signal processing and novel signal extraction techniques. Experimental work is explained and potential commercial applications for such novel remote sensor systems are proposed.
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Published date: 2003
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Local EPrints ID: 465187
URI: http://eprints.soton.ac.uk/id/eprint/465187
PURE UUID: 6f0c5704-fb98-4873-bdf7-63963045d40e
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Date deposited: 05 Jul 2022 00:28
Last modified: 16 Mar 2024 20:00
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Author:
Edward Paul James
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