DocumentCode
2204251
Title
Fractal Brownian motion for feature extraction in noisy signals from gas sensors
Author
Gonschorowski, Juliano S. ; Salcedo, Walter J. ; Quispe, German C S ; Fernandez, Francisco J R ; Peixoto, Nathalia
Author_Institution
Univ. de Sao Paulo, Sao Paulo
fYear
2007
fDate
28-31 Oct. 2007
Firstpage
312
Lastpage
315
Abstract
The present work reports on a new pattern recognition method applied to the electrical response of a gas sensor. The sensor is a tin oxide device used as an electronic nose. It yields noisy responses when submitted to organic solvents. Signals were analyzed by the epsilon-blanket fractal dimension associated with the fractal Brownian motion. The classification of features shows close to 100% recognition rate for five different gases.
Keywords
Brownian motion; electronic noses; feature extraction; fractals; signal processing; tin compounds; SnO2; electrical response; electronic nose; epsilon-blanket fractal dimension; feature extraction; fractal Brownian motion; gas sensors; noisy responses; noisy signals; organic solvents; pattern recognition method; tin oxide device; 1f noise; Brownian motion; Equations; Feature extraction; Fractals; Gas detectors; Gases; Semiconductor device noise; Sensor phenomena and characterization; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2007 IEEE
Conference_Location
Atlanta, GA
ISSN
1930-0395
Print_ISBN
978-1-4244-1261-7
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2007.4388399
Filename
4388399
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