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Practical algorithm for reducing convex spike noises on a spectrum.

Yukiteru Katsumoto¹, Yukihiro Ozaki

¹Department of Chemistry, School of Science and Technology, Kwansei-Gakuin University, Gakuen, Sanda 669-1337, Japan.

Applied Spectroscopy

|December 9, 2003

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A new method effectively removes cosmic ray and water vapor spikes from single-scan spectra in Raman and infrared spectroscopy. This technique improves quantitative data analysis without needing multiple scans or significantly altering the original spectrum.

Area of Science:

Analytical Chemistry
Spectroscopy

Background:

Quantitative analysis using Raman and infrared spectroscopy is often hindered by noise spikes.
Conventional smoothing techniques are ineffective at removing isolated, unidirectional spikes from cosmic rays or water vapor.

Purpose of the Study:

To present a simple denoising technique for single-scan spectra corrupted by convex spikes.
To improve the accuracy of quantitative data analysis in spectroscopy.

Main Methods:

A modified moving window averaging procedure is employed.
The method distinguishes and separates convex spikes based on their narrower bandwidth compared to informative spectral bands.

Main Results:

The proposed algorithm effectively removes convex spikes from measured spectra.

Related Experiment Videos

The denoising technique does not require multiply recorded spectra.

The method minimizes biasing of the original measured spectrum.

Conclusions:

A simple and effective denoising method is presented for single-scan spectra.
This technique enhances the reliability of quantitative data analysis in Raman and infrared spectroscopy.
The approach offers a significant improvement over conventional smoothing methods for spike removal.