• Acta Photonica Sinica
  • Vol. 34, Issue 10, 1514 (2005)
[in Chinese], [in Chinese], [in Chinese], [in Chinese], and [in Chinese]
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Spectral Multicomponent Analysis Based on Wavelet Transform and Support Vector Machine[J]. Acta Photonica Sinica, 2005, 34(10): 1514 Copy Citation Text show less

    Abstract

    This paper took spectral signal according with Lambert-beer law as object,and introduced basic method of denoise with wavelet transform,and researched and established model of spectral multicomponent analysis based on support vector machine.Then computer simulation method gave an example to explain in the end,the example indicated that the method based on support vector machine can preferably solve the question of nonlinearity, small-sample in the spectral multicomponent analysis.
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Spectral Multicomponent Analysis Based on Wavelet Transform and Support Vector Machine[J]. Acta Photonica Sinica, 2005, 34(10): 1514
    Download Citation