Recovery of drifting sensor responses by means of DWT analysis

Year: 2007

Authors: Zuppa M., Distante C., Persaud Krishna C., Siciliano P.

Autors Affiliation: CNR, Ist Microelettron & Microsistemi, I-73100 Lecce, Italy;
Univ Manchester, Sch Chem Engn & Analyt Sci, SECAS, Manchester M60 1QD, Lancs, England

Abstract: This work underlines the ability of the discrete wavelet transform to recover sensor signals subjected to drift effects. The drift resides in low frequencies. so that it is needed to reveal the signal trend. So far, discrete wavelet transform (DWT) is an efficient tool for pre-processing drifting sensor responses as this technique provides a multi-scale processing analysis where the signal is split into low- and high-frequency components at different scales (or different frequency bands) with different resolutions. The trend is the slowest part of the signal and as the scale increases a better estimate of the unknown trend is obtained. Once the signal components, where drift contamination is present, are selected and discarded, the pre-processed signal is not distorted by excessive cutting off low-frequency components. The results are compared with ones obtained by applying standard high-pass filters. (c) 2006 Elsevier B.V. All rights reserved.

Journal/Review: SENSORS AND ACTUATORS B-CHEMICAL

Volume: 120 (2)      Pages from: 411  to: 416

KeyWords: electronic nose; gas sensor; pattern recogntiion; drift counteraction;
DOI: 10.1016/j.snb.2006.02.049

Citations: 26
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