• Spectroscopy and Spectral Analysis
  • Vol. 32, Issue 3, 594 (2012)
LI Jin-rong1、2、* and DAI Lian-kui1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2012)03-0594-04 Cite this Article
    LI Jin-rong, DAI Lian-kui. Fast Spectral Modeling Based on Voigt Peaks[J]. Spectroscopy and Spectral Analysis, 2012, 32(3): 594 Copy Citation Text show less

    Abstract

    Indirect hard modeling (IHM) is a recently introduced method for quantitative spectral analysis, which was applied to the analysis of nonlinear relation between mixture spectrum and component concentration. In addition, IHM is an effectual technology for the analysis of components of mixture with molecular interactions and strongly overlapping bands. Before the establishment of regression model, IHM needs to model the measured spectrum as a sum of Voigt peaks. The precision of the spectral model has immediate impact on the accuracy of the regression model. A spectrum often includes dozens or even hundreds of Voigt peaks, which mean that spectral modeling is a optimization problem with high dimensionality in fact. So, large operation overhead is needed and the solution would not be numerically unique due to the ill-condition of the optimization problem. An improved spectral modeling method is presented in the present paper, which reduces the dimensionality of optimization problem by determining the overlapped peaks in spectrum. Experimental results show that the spectral modeling based on the new method is more accurate and needs much shorter running time than conventional method.
    LI Jin-rong, DAI Lian-kui. Fast Spectral Modeling Based on Voigt Peaks[J]. Spectroscopy and Spectral Analysis, 2012, 32(3): 594
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