• DocumentCode
    2260434
  • Title

    Noise Removal of Raman Spectra Using Interval Thresholding Method

  • Author

    Li, Gang

  • Author_Institution
    Fac. of Mech. & Electron. Inf., China Univ. of Geosci., Wuhan, China
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    535
  • Lastpage
    539
  • Abstract
    Wavelet transform (WT) was applied to de-noise Raman spectra. A simulated noisy Raman spectrum and the experimental Raman spectrum of benzene were de-noised using the level thresholding method and the interval thresholding method. The de-noising performances of the two methods were compared. The results showed that the interval thresholding method is more satisfactory than the level thresholding method, because it can remove the noise more efficiently and preserve the shapes of Raman bands better.
  • Keywords
    Raman spectroscopy; signal denoising; wavelet transforms; Raman spectra; interval thresholding method; level thresholding method; noise removal; wavelet transform; Frequency; Noise level; Noise reduction; Noise shaping; Raman scattering; Shape; Signal processing; Spectroscopy; Wavelet coefficients; Wavelet transforms; Raman spectrum; Wavelet transform; interval thresholding; noise removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.573
  • Filename
    4739630