| 基于小波分析的光谱数据处理 |
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| 引用本文： | 马翠红,刘立业.基于小波分析的光谱数据处理[J].冶金分析,2012,32(1):34-37. |
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| 作者姓名： | 马翠红 刘立业 |
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| 作者单位： | 河北联合大学电气工程学院，河北唐山063009 |
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| 基金项目： | 河北省自然基金委(F2010001970);国家科技部科技人员服务企业行动项目(2009GJA20002) |
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| 摘 要： | 原子发射光谱作为多元素同步分析技术具有巨大的在线分析潜力。由于光谱数据量大，干扰信息与有效信息并存，不利于对光谱数据进行定性定量分析。小波分析具有分时分频精细表达和多尺度多分辨率分析的独特优势，本文介绍了小波变换去噪技术原理，通过对一组光谱数据的去噪处理，说明利用小波分析法可以有效的消减光谱中的干扰信息。
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| 关 键 词： | 原子发射光谱 小波分析 光谱数据 去噪 |
| 收稿时间： | 2011-05-19 |
Spectral data processing based on wavelet analysis |
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| MA Cui-hong,LIU Li-ye.Spectral data processing based on wavelet analysis[J].Metallurgical Analysis,2012,32(1):34-37. |
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| Authors: | MA Cui-hong LIU Li-ye |
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| Affiliation: | Colleage of Electrical Engineering, Hebei United University,Tangshan 063009, China |
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| Abstract: | Atomic emission spectrometry has been considered as a potential in-situ technology because of its advantage of simultaneous multi-elements analysis ability.Since the spectral data are large with the coexisting of interference information and effective information,it is disadvantageous to the qualitative and quantitative analysis.The wavelet analysis has the special advantages of fine expression in time division & frequency division and multiscale & multiresolution analysis.The technical principle of wavelet analysis to remove noise is introduced.Through the noise removal of a group of spectral data,it is indicated that the wavelet analysis method can effectively reduce the interference information in spectrum. |
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| Keywords: | atomic emission spectrometry wavelet analysis spectral data denoise |
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