On the study of feature extraction methods for an electronic nose

Cosimo Distante, Marco Leo, Pietro Siciliano, Krishna C. Persaud

    Research output: Contribution to journalArticlepeer-review


    In this study, we analyzed the transient of microsensors based on tin oxide sol-gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and log) and transient (Fourier and wavelet descriptors, integral and derivatives) information. Feature extraction methods have been validated qualitatively (by using principal component analysis) and quantitatively on the classification rate (by using a radial basis function neural network). © 2002 Elsevier Science B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)274-288
    Number of pages14
    JournalSensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers
    Issue number2
    Publication statusPublished - 10 Dec 2002


    • Electronic nose
    • Feature extraction
    • Radial basis function
    • Wavelet analysis


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