Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/180138
Title: | Signal and data processing for machine olfaction and chemical sensing: A review |
Author: | Marco Colás, Santiago Gutiérrez Gálvez, Agustín |
Keywords: | Detectors químics Nas Olfacte Olors Chemical detectors Nose Smell Odors |
Issue Date: | Nov-2012 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract: | Signal and data processing are essential elements in electronic noses as well as in most chemical sensing instruments. The multivariate responses obtained by chemical sensor arrays require signal and data processing to carry out the fundamental tasks of odor identification (classification), concentration estimation (regression), and grouping of similar odors (clustering). In the last decade, important advances have shown that proper processing can improve the robustness of the instruments against diverse perturbations, namely, environmental variables, background changes, drift, etc. This article reviews the advances made in recent years in signal and data processing for machine olfaction and chemical sensing. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1109/JSEN.2012.2192920 |
It is part of: | IEEE Sensors Journal, 2012, vol. 12, num. 11, p. 3189-3214 |
URI: | http://hdl.handle.net/2445/180138 |
Related resource: | https://doi.org/10.1109/JSEN.2012.2192920 |
ISSN: | 1530-437X |
Appears in Collections: | Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) |
Files in This Item:
File | Description | Size | Format | |
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617499.pdf | 1.72 MB | Adobe PDF | View/Open |
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