OSA's Digital Library

Applied Spectroscopy

Applied Spectroscopy


  • Vol. 56, Iss. 11 — Nov. 1, 2002
  • pp: 1462–1469

Comparison of Wavelets and Smoothing for Denoising Spectra for Two-Dimensional Correlation Spectroscopy

R. James Berry and Yukihiro Ozaki

Applied Spectroscopy, Vol. 56, Issue 11, pp. 1462-1469 (2002)

View Full Text Article

Acrobat PDF (435 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

  • Export Citation/Save Click for help


Noise can be severely detrimental to two-dimensional correlation spectroscopy (2D-COS), even at levels as low as 2%. In order to circumvent this problem, spectra must be as free as possible from noise. However, this is not always feasible within the confines of some experiments. Smoothing has been previously used to pretreat the data to reduce noise for 2D-COS. We will show that denoising using wavelets is more beneficial than smoothing and eigenvector reconstruction. The effect of noise is shown on data with 1, 2, and 5% synthetic noise added and then processed with wavelet filtering, smoothing, and eigenvector reconstruction. Lastly, the relative benefits of both smoothing and wavelet filtering on near infrared (NIR) spectra of raw milk are compared.

R. James Berry and Yukihiro Ozaki, "Comparison of Wavelets and Smoothing for Denoising Spectra for Two-Dimensional Correlation Spectroscopy," Appl. Spectrosc. 56, 1462-1469 (2002)

Sort:  Journal  |  Reset


References are not available for this paper.

Cited By

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited