文档介绍：Sensors and Actuators B 83 02002) 238±244
Wavelet transform and fuzzy ARTMAP-based pattern
recognition for fast gas identi®cation using
a micro-hotplate gas sensor
E. Llobeta,*, J. Brezmesa, R. Ionescua, X. Vilanovaa, S. Al-Khalifab,
. Gardnerb,Ãrsanc, X. Correiga
aDepartment of Electronic Engineering, Universitat Rovira i Virgili, Avda. PaõÈsos Catalans 26, Campus Sescelades, 43007 Tarragona, Spain
bSchool of Engineering, Warwick University, Coventry CV4 7AL, UK
cInstitute of Physical Chemistry, TuÈbingen University, Auf der Morgenstelle, 8 TuÈbingen, Germany
Abstract
It is shown that a single thermally-modulated tin oxide-based resistive microsensor can discriminate between two different pollutant gases
0CO and NO2) and their mixtures. The method employs a novel feature-extraction and pattern classi®cation method, which is based on a 1-D
discrete wavelet transform and a Fuzzy adaptive resonant theory map 0ARTMAP) work. The wavelet technique is more effective
than FFT in terms of pression and is highly tolerant to the presence of additive noise and drift in the sensor responses. Furthermore,
Fuzzy works lead to a 100% ess rate in gas recognition in just two training epochs, which is signi®cantly lower than the
number of epochs required to train the back-work. # 2002 Elsevier Science . All rights reserved.
Keywords: Discrete wavelet transform;