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修正样条小波最小二乘法用于分辨高噪声重叠峰

Modified Spline Wavelet Least Square in Resolving Heavy Noisy Overlapped Signals

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【作者】 张永清赵小年莫金垣

【Author】 ZHANG Yong-qing 1 ,ZHAO Xiao-nian 2 ,MO Jin-yuan 3 (1.College of Environmental Science and Engineering,South China University of Technology,Guangzhou510640,China; 2.China Special Vehicle Research Institute,Jinmen448035,China;3.School of Chemistry and Chemical Engineering, SUN Yat-sen University,Guangzhou510275,China)

【机构】 华南理工大学环境科学与工程学院中国特种飞行器研究所中山大学化学与化学工程学院 广东广州510640湖北荆门448035广东广州510275

【摘要】 采用连续样条小波变换确定重叠信号的组分峰的数目和峰位置,将样条小波最小二乘法加以改进,使其成为既能滤出噪声又能分峰的新方法。对信噪比为1的重叠峰进行处理,得到满意结果。该方法只需对信号进行一次处理,处理速度快,且数据点无须为2n(n∈Z)。应用于毛细管电泳电导信号的处理,得到满意结果。

【Abstract】 A novel algorithm of modified spline wavelet least square(SWLS)was proposed in this paper and applied to process noisy overlapped signals.After the number and positions of overlapped peaks were continuˉously spline wavelet transformed(CSWT),the noisy overlapped peaks could be separated(S/N=1)directly and the noises were removed at the same time.Compared with the overlapped signals,the noises were filtered and the resolution of the signals processed by SWLS was enhanced.The signals only need to be processed only once.This method is simple and quick.The number of data points does not have to be2 n (n∈Z).The reˉsults of resolving the capillary electrophoresis overlapped peaks with heavy noises were satisfactory.

【基金】 华南理工大学自然科学基金资助项目(E512670)
  • 【文献出处】 分析测试学报 ,Journal of Instrumental Analysis , 编辑部邮箱 ,2005年03期
  • 【分类号】O652
  • 【被引频次】3
  • 【下载频次】140
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