Wavelet transform smoothing filters for metal oxide gas sensor signal cleaning

Enobong Bassey, Jacqueline Whalley, Philp Sallis, Krishnamachar Prasad

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publication8th International Conference on Sensing Technology (ICST 2014), Liverpool, UK
Number of pages5
Publication statusPublished - 2014
Event8th International Conference on Sensing Technology (ICST 2014) - Liverpool John Moores University, Liverpool, United Kingdom
Duration: 2 Sept 20144 Sept 2014


Conference8th International Conference on Sensing Technology (ICST 2014)
Country/TerritoryUnited Kingdom


  • De-noising
  • Gas sensor devices
  • Signal processing
  • Bandpass filters
  • Chemical sensors
  • Digital devices
  • Feature extraction
  • Gas detectors
  • Metal cleaning
  • Metals
  • Thin films
  • Tin dioxide
  • Tin oxides
  • Wavelet transforms
  • Digital signals
  • Metal oxide gas sensors
  • Operating temperature
  • Sensor response
  • Smoothing filters
  • Thin film composition
  • Signal de-noising

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Wavelet transform smoothing filters for metal oxide gas sensor signal cleaning'. Together they form a unique fingerprint.

Cite this