高等学校化学学报

高等学校化学学报 ›› 2000, Vol. 21 ›› Issue (S1): 100.

• Analytical Sciences • 上一篇    下一篇

Wavelet transform-based Curve Fitting

ZHANG Xiu-Qi, ZHENG Jian-Bin, GAO Hong   

  1. Institute of Electroanalytical Chemistry, Northwest University, Xi'an 710069
  • 出版日期:2000-12-31 发布日期:2000-12-31

Wavelet transform-based Curve Fitting

ZHANG Xiu-Qi, ZHENG Jian-Bin, GAO Hong   

  1. Institute of Electroanalytical Chemistry, Northwest University, Xi'an 710069
  • Online:2000-12-31 Published:2000-12-31

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摘要：

Curve fitting methods are now widely applied both qualitative and quantitatively to separate overlapping peaks in composite profiles. Nevertheless, the achievement of a good representative fit requires the knowledge of five parameters:the number of component bands, their positions, shapes and widths, and the form of the baseline. Clearly, curve fitting is considerably facilitated if approximate values for some of the parameters are known at the outset. Up to present, there are many methods employed for improving the curve-fitted conditions[1,2]. Wavelet transform is a high performance signal processing technique developed from the Fourier transform.

Abstract:

Curve fitting methods are now widely applied both qualitative and quantitatively to separate overlapping peaks in composite profiles. Nevertheless, the achievement of a good representative fit requires the knowledge of five parameters:the number of component bands, their positions, shapes and widths, and the form of the baseline. Clearly, curve fitting is considerably facilitated if approximate values for some of the parameters are known at the outset. Up to present, there are many methods employed for improving the curve-fitted conditions[1,2]. Wavelet transform is a high performance signal processing technique developed from the Fourier transform.

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