An evaluation of smoothing filters for gas sensor signal cleaning

Enobong Bassey; Jacqueline Whalley; Philip Sallis

An evaluation of smoothing filters for gas sensor signal cleaning

Enobong Bassey, Jacqueline Whalley, Philip Sallis

School of Energy, Construction and Environment

Auckland University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

This paper explores signal response and methods for extracting the desired digital signal, from gas sensor arrays, while maintaining the shape and resolution of that signal. A comparative evaluation of Savitzky–Golay smoothing, moving average, local regression and robust local regression filters for cleaning signals obtained from gas sensor devices during the pre-processing phase is provided. It was found that the Savitzky–Golay smoothing filtering method provided the best approximation of the sensor response.

Original language	English
Title of host publication	The Fourth International Conference on Advanced Communications and Computation
Subtitle of host publication	INFOCOMP 2014, Paris, France
Editors	C. Rückemann, M. Pankowska
Pages	19-23
Number of pages	5
Publication status	Published - 2014

Keywords

Denoising
Gas sensor arrays
Signal processing

Cite this

An evaluation of smoothing filters for gas sensor signal cleaning. / Bassey, Enobong; Whalley, Jacqueline; Sallis, Philip.
The Fourth International Conference on Advanced Communications and Computation: INFOCOMP 2014, Paris, France. ed. / C. Rückemann; M. Pankowska. 2014. p. 19-23.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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AB - This paper explores signal response and methods for extracting the desired digital signal, from gas sensor arrays, while maintaining the shape and resolution of that signal. A comparative evaluation of Savitzky–Golay smoothing, moving average, local regression and robust local regression filters for cleaning signals obtained from gas sensor devices during the pre-processing phase is provided. It was found that the Savitzky–Golay smoothing filtering method provided the best approximation of the sensor response.

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KW - Gas sensor arrays

KW - Signal processing

UR - http://www.iaria.org/conferences2014/ProgramINFOCOMP14.html

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BT - The Fourth International Conference on Advanced Communications and Computation

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An evaluation of smoothing filters for gas sensor signal cleaning

Abstract

Keywords

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