Abstract
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 language | English |
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| Title of host publication | 8th International Conference on Sensing Technology (ICST 2014), Liverpool, UK |
| Pages | 538-542 |
| Number of pages | 5 |
| Volume | 2014 |
| Publication status | Published - 2014 |
| Event | 8th International Conference on Sensing Technology (ICST 2014) - Liverpool John Moores University, Liverpool, United Kingdom Duration: 2 Sep 2014 → 4 Sep 2014 |
Conference
| Conference | 8th International Conference on Sensing Technology (ICST 2014) |
|---|---|
| Country/Territory | United Kingdom |
| City | Liverpool |
| Period | 2/09/14 → 4/09/14 |
Keywords
- 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