Cancellation of chemical backgrounds with generalized Fisher's linear discriminants Conference Paper

abstract

• This article presents a signal-processing technique capable of canceling the effect of background chemicals from the multivariate response of a sensor array. We propose a generalization of the Fisher's eigenvalue solution that minimizes the discrimination between undesirable chemicals and a neutral reference. The proposed technique is a generalization of an earlier model that was limited to the removal of single volatiles. A reformulation of class memberships allows the new model to cancel the effect of both single and mixture backgrounds. The model is validated on experimental data from an array of temperature-modulated metal-oxide sensors exposed to binary and ternary mixtures. 2004 IEEE.

name of conference

• Proceedings of IEEE Sensors, 2004.

authors

• Gutierrez-Osuna, Ricardo

published proceedings

• PROCEEDINGS OF THE IEEE SENSORS 2004, VOLS 1-3

author list (cited authors)

• Gutierrez-Osuna, R., & Raman, B.

citation count

• 6

complete list of authors

• Gutierrez-Osuna, R||Raman, B

publication date

• January 2004

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of IEEE Sensors  Journal

keywords

• 40 Engineering
• 4009 Electronics, Sensors And Digital Hardware

Digital Object Identifier (DOI)

• 10.1109/ICSENS.2004.1426441

International Standard Book Number (ISBN) 10

• 0-7803-8692-2

start page

• 1381

end page

• 1384

volume

• 3

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ficsens.2004.1426441