Vector casting for noise reduction

Gebrekidan MT, Knipfer C, Braeuer AS (2020)

Publication Type: Journal article

Publication year: 2020


DOI: 10.1002/jrs.5835


We report a new method for the reduction of noise from spectra. This method is based on casting vectors from one data point to the following data points of the noisy spectrum. The noise-reduced spectrum is computed from the casted vectors within a margin that is identified by an envelope-finder algorithm. We compared here the presented method with the Savitzky-Golay and the wavelet transform approaches for noise reduction using simulated Raman spectra of various signal-to-noise ratios between 1 and 25 dB and experimentally acquired Raman spectra. The method presented here performs well compared with the Savitzky-Golay and the wavelets-based denoising method, especially at small signal-to-noise ratios and furthermore relies on a minimum of human input requirements.

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How to cite


Gebrekidan, M.T., Knipfer, C., & Braeuer, A.S. (2020). Vector casting for noise reduction. Journal of Raman Spectroscopy.


Gebrekidan, Medhanie Tesfay, Christian Knipfer, and Andreas Siegfried Braeuer. "Vector casting for noise reduction." Journal of Raman Spectroscopy (2020).

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