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Vector casting for noise reduction

Standard

Vector casting for noise reduction. / Gebrekidan, Medhanie Tesfay; Knipfer, Christian; Braeuer, Andreas Siegfried.

in: J RAMAN SPECTROSC, Jahrgang 51, Nr. 4, 2020, S. 731-743.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Gebrekidan, MT, Knipfer, C & Braeuer, AS 2020, 'Vector casting for noise reduction', J RAMAN SPECTROSC, Jg. 51, Nr. 4, S. 731-743. https://doi.org/10.1002/jrs.5835

APA

Gebrekidan, M. T., Knipfer, C., & Braeuer, A. S. (2020). Vector casting for noise reduction. J RAMAN SPECTROSC, 51(4), 731-743. https://doi.org/10.1002/jrs.5835

Vancouver

Gebrekidan MT, Knipfer C, Braeuer AS. Vector casting for noise reduction. J RAMAN SPECTROSC. 2020;51(4):731-743. https://doi.org/10.1002/jrs.5835

Bibtex

@article{d981c26cb888442da11d4ab3cb22b49c,
title = "Vector casting for noise reduction",
abstract = "Abstract 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.",
keywords = "envelope detection, noise reduction, peak detection, Raman spectra, vector casting",
author = "Gebrekidan, {Medhanie Tesfay} and Christian Knipfer and Braeuer, {Andreas Siegfried}",
note = "doi: 10.1002/jrs.5835",
year = "2020",
doi = "10.1002/jrs.5835",
language = "Deutsch",
volume = "51",
pages = "731--743",
journal = "J RAMAN SPECTROSC",
issn = "0377-0486",
publisher = "John Wiley and Sons Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Vector casting for noise reduction

AU - Gebrekidan, Medhanie Tesfay

AU - Knipfer, Christian

AU - Braeuer, Andreas Siegfried

N1 - doi: 10.1002/jrs.5835

PY - 2020

Y1 - 2020

N2 - Abstract 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.

AB - Abstract 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.

KW - envelope detection

KW - noise reduction

KW - peak detection

KW - Raman spectra

KW - vector casting

U2 - 10.1002/jrs.5835

DO - 10.1002/jrs.5835

M3 - SCORING: Zeitschriftenaufsatz

VL - 51

SP - 731

EP - 743

JO - J RAMAN SPECTROSC

JF - J RAMAN SPECTROSC

SN - 0377-0486

IS - 4

ER -