Feature extraction techniques for QCM Sensors dynamic responses

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 1, Issue , 2004, Pages 605-609

  Di Nucci, C ^a   Fort, A ^a   Rocchi, S ^a   Ulivieri, N ^a   Vignoli, V ^a   Catelani, M ^b  

^a UNIVERSITY OF SIENA   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Chemical transients; Data analysis; Electronic nose; Exponential fitting; QCM; Quartz crystal microbalance

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION; FREQUENCY RESPONSE; LEAST SQUARES APPROXIMATIONS; MICROSENSORS; NATURAL FREQUENCIES; QUARTZ; SIGNAL PROCESSING; WAVELET TRANSFORMS;

CHEMICAL TRANSIENTS; ELECTRONIC NOSE; EXPONENTIAL FITTING; QUARTZ CRYSTAL MICROBALANCE;

FEATURE EXTRACTION;

EID: 4644255896     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. C.Di Nucci, A Fort, S.Rocchi, L.Tondi, V.Vignoli, F.Di Francesco, M.B.Serrano Santos "A measurement system for odor classification based on the dynamic response of QCM sensors", Instrumentation and Measurement, IEEE Transactions on , vol 52 (4), Aug. 2003 pp. 1079-1086.
2. R.Gutierrez-Osuna, H.Troy Nagle, S.Schiffman, "Transient response analysis of an electronic nose using multi-exponential models", Sensors and Actuators B Chemical, vol. 61, August 1999, pp. 171-182.
3. E.Yeramian, P.Claverie, "Analysis of multi-exponential functions without a hypothesis as to number of components", Nature326, (1987) pp 123-128.