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样条小波自卷积处理窄锐重叠信号的研究(英文) 被引量:1

The study of spline wavelet self-convolution on processing narrowband overlapped signals
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摘要 采用函数d 1/dx1+exp(x)分辨因子与样条小波滤波器相作用构成样条小波峰分辨器,对毛细管电泳窄锐重叠信号的处理,得到较好结果,在重叠峰分辨的同时滤去噪声,达到了同时滤噪和分蜂的目的。被处理的重叠信号得到基线分离,分峰前后蜂位置和峰面积的相对误差小于5.0%。应用于5个芳香胺类化合物的混合物的毛细管电泳窄锐重叠信号的处理,得到满意结果。 The function d1/dxl +exp(x) as a resolving factor is acted on the filters of spline wavelet and a peak resoluter of spline wavelet self-convolution is made. The narrowband overlapped signals of capillary electrophoresis have been processed by this method and good results have been obtained. The overlapped signals were resolved and the noises were filtered. Baseline separation can be achieved for processed signals. Comparing the original signals and processed signals, the relative errors of peak position and peak area are less than 5.0%. Narrowband overlapped capillary electrophoresis signals of five arylamine mixtures have been studied by this method and satisfactory results are achieved.
出处 《计算机与应用化学》 CAS CSCD 北大核心 2005年第6期487-490,共4页 Computers and Applied Chemistry
基金 Supproted by the Natural Science Foundation of Scuh China University of Technology(E5126247)
关键词 样条小波自卷积 分辨因子 窄锐重叠信号 spline wavelet self-convolution(SWSC) , resolving factor, narrowband overlapped signals
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