| 光谱学与光谱分析 |
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| Fast Algorithm for Feature Extraction and Identification of Infrared Spectra of Polluted Gases |
| LIU Mei-juan, FENG Wei-wei, SHI Feng-rong, WANG Xue-qin, ZHANG Jun* |
| Institute of Science and Technology for Optoelectronic Information, Yantai University, Yantai 264005, China |
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Abstract 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.
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Received: 2005-07-08
Accepted: 2005-10-18
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Corresponding Authors:
ZHANG Jun
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| Cite this article: |
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LIU Mei-juan,FENG Wei-wei,SHI Feng-rong, et al. Fast Algorithm for Feature Extraction and Identification of Infrared Spectra of Polluted Gases [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(10): 1854-1857.
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https://www.gpxygpfx.com/EN/Y2006/V26/I10/1854 |
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