[Fast algorithm for feature extraction and identification of infrared spectra of polluted gases].
With the multi-resolution analysis, features of infrared spectra of polluted gases were extracted. Then the data were trained or identified by a neural network system. The experimental results show that the combination of the wavelet transform and the neural network has the great ability of feature extracting. And the system is quite efficient for identifying infrared spectra.
Liu
Mei-juan
MJ
Institute of Science and Technology for Optoelectronic Information, Yantai University, Yantai 264005, China.
Feng
Wei-wei
WW
Shi
Feng-rong
FR
Wang
Xue-qin
XQ
Zhang
Jun
J