Wavelet filter for noise reduction and signal compression in an artificial nose |
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| Affiliation: | 1. Informatics Center, Federal University of Pernambuco, Recife, Brazil;2. Department of Electrical Engineering, University of Brasília, Brazil;3. Department of Electronics and Systems, Federal University of Pernambuco, Recife, Brazil;1. Third Center for Integrated Air Defense and Air Traffic Control (CINDACTA III), Av. Centenário Alberto Santos Dumont, Recife, PE s/n - 51250-000, Brazil;2. Centro de Informática (CIn), Federal University of Pernambuco (UFPE), Av. Jornalista Anibal Fernandes, Recife, PE s/n - 50740-560, Brazil;3. Department of Electronics and Systems (DES), Federal University of Pernambuco (UFPE), Av. da Arquitetura, Recife, PE s/n - 50740-550, Brazil |
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| Abstract: | This work presents results of the use of a wavelet filter for noise reduction and data compression of signals generated by artificial nose sensors. To verify the performance of the wavelet analysis in the treatment of odor patterns, we compare two widely used artificial nose classifiers, multi-layer perceptron neural network and time delay neural network in the analysis of signals generated by eight conducting polymer sensors exposed to gases derived from the petroliferous industry. |
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