Universitat de Barcelona
2021-09-20T15:50:07Z
2021-09-20T15:50:07Z
2012-11
2021-09-20T15:50:07Z
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.
Article
Versió acceptada
Anglès
Detectors químics; Nas; Olfacte; Olors; Chemical detectors; Nose; Smell; Odors
Institute of Electrical and Electronics Engineers (IEEE)
Versió postprint del document publicat a: https://doi.org/10.1109/JSEN.2012.2192920
IEEE Sensors Journal, 2012, vol. 12, num. 11, p. 3189-3214
https://doi.org/10.1109/JSEN.2012.2192920
(c) Institute of Electrical and Electronics Engineers (IEEE), 2012
