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

被引：18
|
作者：
Zanchettin, C. [1 ]
Ludermir, T. B. [1 ]
机构：
[1] Univ Fed Pernambuco, Ctr Informat, BR-50732970 Recife, PE, Brazil
来源：
APPLIED SOFT COMPUTING | 2007年 / 7卷 / 01期
关键词：
artificial neural networks; wavelet transform; artificial noses;
D O I：
10.1016/j.asoc.2005.06.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：246 / 256
页数：11
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