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化学进展 2000, Vol. 12 Issue (03): 233-   后一篇

• 综述与评论 •

小波变换与分析化学信号处理

邵学广;庞春艳;孙莉   

  1. 中国科学技术大学化学系 合肥 230026
  • 收稿日期:1999-07-01 修回日期:2000-01-01 出版日期:2000-08-24 发布日期:2000-08-24
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导出 被引次数 ( 227 | 22 )

Wavelet Transform and Signal Processing in Analytical Chemistry

Shao Xueguang;Pang Chunyan;Sun Li   

  1. Department of Chemistry, University of Science and Technology of China,Hefei 230026, China
  • Received:1999-07-01 Revised:2000-01-01 Online:2000-08-24 Published:2000-08-24
介绍了小波变换的基本理论并对小波变换的常用算法和应用进行了评述。由于小波变换的时2频局部化性质, 使其成为信号处理的强有力工具。在分析化学领域中, 小波变换在流动注射分析、伏安分析、高效液相色谱、红外光谱、质谱、核磁共振谱、可见-紫外光谱、光声光谱、扩展X-射线吸收精细结构(EXAFS) 谱等分析化学信号的平滑滤噪、数据压缩、重叠信号解析等方面都有成功的应用。
关键词： 小波变换, 信号处理, 平滑滤噪, 数据压缩, 重叠信号解析
Basic theories, algorithms and applications of wavelet transform (WT)were described in this paper. The main characteristic of the WT is the dual localization property in both time domain and frequency domain, which enables WT to be a high performance signal processing technique. WT has been applied todenoising, data compression, and resolution of overlapping signals in analytical chemistry that includes flow injection analysis ( FIA ) , voltammetric analysis, high performance liquid chromatography (HPLC) , infrared ( IR ) spectroscopy, mass spectroscopy (M S) , nuclear magnetic resonance (NMR ) spectroscopy, ultraviolet visible (UV-Vis ) spectroscopy, photoacoustic spectroscopy (PAS) , extended Xray absorption fine structure (EXAFS) spectrum , etc.
Key words: wavelet transform, signal processing, smoothing and denoising, data compression, resolution of overlapping signal

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小波变换与分析化学信号处理