liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Wavelet transform of electronic tongue data
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology.
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology.
2002 (English)In: Sensors and actuators. B, Chemical, ISSN 0925-4005, Vol. 87, no 2, 379-391 p.Article in journal (Refereed) Published
Abstract [en]

A measurement in a multi-sensor system is characterized by a large array of numbers (a vector or a matrix), sometimes several thousands. In order to increase the interpretability of the measurements, decrease the calculation demand on the computer, and/or to reduce noise, an alternative, more compact, representation of the measurement can be made which describes the important features of the measurement well but with a much smaller vector. The purpose of this paper is to show that for a particular wet-chemical sensor system (pulsed voltammetry, also called an electronic tongue) the data compression can be made using a wavelet transform together with different wavelet selection algorithms for different purposes. The resulting compressed data can also be used for easy interpretation of the measurements and to give hints for improvements or simplifications of the measurement procedure. Two different criteria for selection of wavelet coefficients have been used, variance and discriminance, in two different cases. The variance criterion was used when variations of any kind in the raw data was studied during monitoring of water in drinking water production plant. In this case, the number of variables was reduced with a factor of 18, without loosing relevant information. In the other case, the focus was to separate different microorganisms, therefore, the discriminance selection criterion was successfully used. The number of variables was reduced by a factor of 144, this smaller data set captured the important information for separating the microorganisms, which led to better classification of the test set. © 2002 Published by Elsevier Science B.V.

Place, publisher, year, edition, pages
2002. Vol. 87, no 2, 379-391 p.
Keyword [en]
Electronic tongue, PCA, Variable reduction, Wavelet transform
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-46787DOI: 10.1016/S0925-4005(02)00270-8OAI: diva2:267683
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2011-01-13

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Artursson, TomHolmberg, Martin
By organisation
The Institute of TechnologyDepartment of Physics, Chemistry and Biology
In the same journal
Sensors and actuators. B, Chemical
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 45 hits
ReferencesLink to record
Permanent link

Direct link