Journal of South China University of Technology (Natural Science Edition) ›› 2005, Vol. 33 ›› Issue (2): 79-81.

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Resolution of High-Noisy Overlapped Analytical Signals by Means of Continuous Spline Wavelet Transform

Wang Li-shi1  Zhang Yong-qing1  Mo Jin-yuan2   

  1. 1.College of Environmental Science and Engineering,South China Univ.of Tech.,Guangzhou 5 10640,Guangdong,China;2.School of Chemistry and Chemical Engineering,Sun Yat·sen Univ.,Guangzhou 510275,Guangdong,China
  • Received:2004-05-21 Online:2005-02-25 Published:2005-02-25
  • Contact: 张永清，E—mail：zhangyq@scut．edu．cn E-mail:wanglsh@scut.edu.cn
  • About author:王立世(1967-)，男，副教授，主要从事分析化学及分析仪器方面的研究．
  • Supported by:

    国家自然科学基金资助项目(20005003)；华南理工大学自然科学基金资助项目(E5124267)

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Abstract:

The continuous spline wavelet transform is employed to the resolution of high-noisy overlapped signals in analytical chemistry to obtain the location and the number of the overlapped peaks.The effects of the signal-to-noisy ratio(SNR),the overlapping degree and the peak height ratio between two adjacent peaks on the resolution aye then discussed．The results show that,by using the continuous spline wavelet transform ,the location and number of the overlapped peaks can be obtained when the SNR of the signal is down to 1.Moreover,the high-noisy over-lapped signals can be resolved well,thus providing references to the qualitative and quantitative analyses of the complex signals of low-content multi-component substances.It is also indicated that,comparing with the discrete wavelet transform,the continuous spline wavelet transform is of the advantages of simplicity and quickness because a data number 2n (n is an integer)and a multi-resolution are not needed.

Key words: continuous spline wavelet transform, signal analysis, high noisy, overlapped peak