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作 者:WANG Ying MO Jinyuan CHEN Xiaoyan
出 处:《Science China Chemistry》2004年第1期50-58,共9页中国科学(化学英文版)
基 金:This work was supported by the National Natural Science Foundation of China(Grant No.29975033);the Natural Science Foundation of Guangdong Province(Grant Nos.980340 and 001237).
摘 要:A 2nd-order spline wavelet convolution method in resolving overlapped peaks is developed. It determines the number of peaks, peak positions and width through wavelet? convolution, then uses spline function to construct the resoluter, which is used to resolve overlapped peaks. Theoretical proof is given, and the selections of wavelets and parameters are discussed. It is proven that baseline separation can be achieved after processed, the relative errors of peak position and area are less than 0.2% and 4.0% respectively. It can be directly applied to seriously overlapped signals, noisy signals and multi-component signals, and the results are satisfactory. It is a novel effective method for resolution.A 2nd-order spline wavelet convolution method in resolving overlapped peaks is developed. It determines the number of peaks, peak positions and width through wavelet's convolution, then uses spline function to construct the resoluter, which is used to resolve overlapped peaks. Theoretical proof is given, and the selections of wavelets and parameters are discussed. It is proven that baseline separation can be achieved after processed, the relative errors of peak position and area are less than 0.2% and 4.0% respectively. It can be directly applied to seriously overlapped signals, noisy signals and multi-component signals, and the results are satisfactory. It is a novel effective method for resolution.
关 键 词:2nd-order SPLINE wavelet convolution resolve CHEMICAL signal overlapped peaks.
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