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Novel convolution-based signal processing techniques for an artificial olfactory mucosa

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Gardner, J. W. and Taylor, J. E.. (2009) Novel convolution-based signal processing techniques for an artificial olfactory mucosa. IEEE Sensors Journal, Vol.9 (No.8). pp. 929-935. ISSN 1530-437X

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Official URL: http://dx.doi.org/10.1109/JSEN.2009.2024856

Abstract

As our understanding of the human olfactory system has grown, so has our ability to design artificial devices that mimic its functionality, so called electronic noses (e-noses). This has led to the development of a more sophisticated biomimetic system known as an artificial olfactory mucosa (e-mucosa) that comprises a large distributed sensor array and artificial mucous layer. In order to exploit fully this new architecture, new approaches are required to analyzing the rich data sets that it generates. In this paper, we propose a novel convolution based approach to processing signals from the e-mucosa. Computer simulations are performed to investigate the robustness of this approach when subjected to different real-world problems, such as sensor drift and noise. Our results demonstrate a promising ability to classify odors from poor sensor signals.

Item Type:

Journal Article

Subjects:

T Technology > TK Electrical engineering. Electronics Nuclear engineering

Divisions:

Faculty of Science > Engineering

Library of Congress Subject Headings (LCSH):

Signal processing -- Digital techniques, Convolutions (Mathematics), Olfactory mucosa -- Research, Chemical detectors -- Research

Journal or Publication Title:

IEEE Sensors Journal

Publisher:

Institute of Electrical and Electronic Engineers

ISSN:

1530-437X

Official Date:

30 June 2009

Dates:

Date	Event
30 June 2009	Published

Volume:

Vol.9

Number:

No.8

Number of Pages:

Page Range:

pp. 929-935

Identification Number:

10.1109/JSEN.2009.2024856

Status:

Peer Reviewed

Publication Status:

Published

Access rights to Published version:

Restricted or Subscription Access

Funder:

Engineering and Physical Sciences Research Council (EPSRC), University of Warwick

Version or Related Resource:

This item was also presented at the Eighth IASTED International Conference on Biomedical Engineering (BIOMED 2011), Innsbruck, Austria, Feb 16 - 18, 2011.

References:

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