dc.contributor.author
Marco Colás, Santiago
dc.contributor.author
Gutiérrez Gálvez, Agustín
dc.date.issued
2021-09-20T15:50:07Z
dc.date.issued
2021-09-20T15:50:07Z
dc.date.issued
2021-09-20T15:50:07Z
dc.identifier
https://hdl.handle.net/2445/180138
dc.description.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.
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
Versió postprint del document publicat a: https://doi.org/10.1109/JSEN.2012.2192920
dc.relation
IEEE Sensors Journal, 2012, vol. 12, num. 11, p. 3189-3214
dc.relation
https://doi.org/10.1109/JSEN.2012.2192920
dc.rights
(c) Institute of Electrical and Electronics Engineers (IEEE), 2012
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
dc.subject
Detectors químics
dc.subject
Chemical detectors
dc.title
Signal and data processing for machine olfaction and chemical sensing: A review
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion
