| 污染气体红外光谱特征的快速提取与识别 |
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| 引用本文： | 刘美娟,冯巍巍,史丰荣,王学勤,张骏.污染气体红外光谱特征的快速提取与识别[J].光谱学与光谱分析,2006,26(10):1854-1857. |
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| 作者姓名： | 刘美娟 冯巍巍 史丰荣 王学勤 张骏 |
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| 作者单位： | 烟台大学光电信息学院,山东,烟台,264005 |
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| 基金项目： | 国家自然科学基金
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教育部高校骨干教师资助计划 |
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| 摘 要： | 利用小波变换的多尺度分析对污染气体红外光谱数据进行处理,并使用神经网络对红外光谱数据进行分类识别.实验结果表明:小波变换与神经网络的有机结合,有利于污染气体红外光谱的快速特征提取和识别,并具有较高的识别率,是一个有效的识别系统.
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| 关 键 词： | 小波变换 神经网络 光谱识别 |
| 文章编号： | 1000-0593（2006）10-1854-04 |
| 收稿时间： | 2005-07-08 |
| 修稿时间： | 2005-10-18 |
Fast Algorithm for Feature Extraction and Identification of Infrared Spectra of Polluted Gases |
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| LIU Mei-juan,FENG Wei-wei,SHI Feng-rong,WANG Xue-qin,ZHANG Jun.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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| Authors: | LIU Mei-juan FENG Wei-wei SHI Feng-rong WANG Xue-qin ZHANG Jun |
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| Institution: | 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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| Keywords: | Wavelet transform Neural network Spectral identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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