Chem. J. Chinese Universities ›› 1997, Vol. 18 ›› Issue (1): 49.
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LU Xiao-Quan, Mo Jin-Yuan
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Abstract: Anew method which is caIled orthogonal wavelet transform was introduced into deconvolution voltammetry to deal with discrete data containing strong random noise.From simulated data and experimental data, the processed results show that wavelet trans form would be the best method in processing complex discrete signal containing high white noise,and was compared with Fourier least square method.Wavelet transform has many merits than Fourier method.
Key words: Orthogonal wavelet transform, Deconvolution voltammetry, Data processing
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LU Xiao-Quan, Mo Jin-Yuan. Methods of Handling Discrete Data for Deconvolution Voltammetry (Ⅰ)──-Wavelet Transform Smoothing[J]. Chem. J. Chinese Universities, 1997, 18(1): 49.
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