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Progress in Chemistry 2000, Vol. 12 Issue (03): 233-   Next Articles

• Review •

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: Revised: Online: Published:
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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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[1] Zhang Xiuqi,Liu Hui,Zheng Jianbin**,Kao Hung. The Application of Signal Processing in Resolving Overlapping Chemical Bands [J]. Progress in Chemistry, 2002, 14(03): 174-.