Wavelet filter for noise reduction and signal compression in an artificial nose

Authors:
Cleber Zanchettin;Teresa B. Ludermir
Affiliations:
Center of Informatics - Federal University of Pernambuco, P. O. Box 7851, Cidade Universitária, Recife - PE, Brazil;Center of Informatics - Federal University of Pernambuco, P. O. Box 7851, Cidade Universitária, Recife - PE, Brazil
Venue:
Design and application of hybrid intelligent systems
Year:
2003

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Abstract

This work presents results of using a wavelet filter for noise reduction and data compression of signals generated by artificial nose sensors. To verify the performance of wavelet analysis in the treatment of odor patterns, we compare the use of two widely used artificial nose classifiers, Multi-Layer Perceptron (MLP) neural network and Time Delay Neural Network (TDNN), in the analysis of signals generated by eight conducting polymer sensors exposed to gases derived from the petroliferous industry.