Title :
Feature extraction techniques for QCM sensors dynamic responses
Author :
Di Nucci, C. ; Fort, A. ; Rocchi, S. ; Ulivieri, N. ; Vignoli, V. ; Catelani, M.
Author_Institution :
Dept. of Inf. Eng., Siena Univ., Italy
Abstract :
In this paper a comparison among different parameter extraction techniques, applied to the dynamical responses of QCM (quartz crystal microbalance) sensors, is presented. Some results concerning the application of the studied technique to the wine aroma recognition are presented.
Keywords :
chemical sensors; crystal resonators; dynamic response; feature extraction; microbalances; quartz; QCM sensors; chemical transients; data analysis; dynamic responses; exponential fitting; feature extraction technique; parameter extraction techniques; quartz crystal microbalance; wine aroma recognition; Chemical sensors; Electronic noses; Feature extraction; Frequency measurement; Gas detectors; Optical sensors; Polymers; Resonance; Resonant frequency; Sensor arrays;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351122