Wavelet Transform Smoothing Filters for Metal Oxide Gas Sensor Signal Cleaning

Bassey, E
Whalley, J
Sallis, P
Prasad, K
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This paper reports on a series of experiments to evaluate the methods for feature extraction and denoising the digital signal from thin film zinc oxide-tin dioxide composite gas sensor devices. The aim was to find a method that not only cleaned the signal but also maintained the shape, precision and resolution of the signal. It was found that the Savitzky–Golay smoothing filter method gave the best, smoothed and cleaned, approximation of the sensor response regardless of the thin film composition, target gas concentration or operating temperature.

Denoising; Gas sensor devices; Signal processing
In 8th International Conference on Sensing Technology (ICST 2014), Liverpool, UK (Vol. 2014, pp. 538-542).
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Copyright © 2014 Elsevier Ltd. All rights reserved. This is the author’s version of a work that was accepted for publication in (see Citation). Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The definitive version was published in (see Citation). The original publication is available at (see Publisher's Version).