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Proceedings Paper

Application of phase-only filter on electronic nose data
Author(s): Karl Solvi Gudmundsson; Abdul A. S. Awwal; Ricardo Gutierrez-Osuna
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Paper Abstract

This article presents an application of Phase Only Filter (POF) to the classification of volatile compound samples with chemical sensor arrays. Sinusoidal temperature modulator excites the chemical sensor array. A system composed of multiple sensors for data acquisition requires the analysis of multiple data signals in order to classify the input data. One such system is the Electronic Nose system (eNose). The eNose data is in fact 1D data from multiple data sources. In this work five samples of three different kinds of coffee are used to build an odor database. An unknown test sample is then classified. In this research data, from such system will be analyzed and classified using the POF and compared to the more conventional K Nearest Neighbors (KNN) classifier. Both classifiers use only the mean and standard deviation as the classification feature space. The difference of the correlation between odor database and the auto correlation of the test sample is the measure of closeness for the POF. For the KNN, the measure of closeness is the difference between the odor database and the test sample.

Paper Details

Date Published: 12 December 2003
PDF: 9 pages
Proc. SPIE 5201, Photonic Devices and Algorithms for Computing V, (12 December 2003); doi: 10.1117/12.510833
Show Author Affiliations
Karl Solvi Gudmundsson, Wright State Univ. (United States)
Abdul A. S. Awwal, Lawrence Livermore National Lab. (United States)
Ricardo Gutierrez-Osuna, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 5201:
Photonic Devices and Algorithms for Computing V
Khan M. Iftekharuddin; Abdul Ahad S. Awwal, Editor(s)

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