Peak‐aware adaptive denoising for Raman spectroscopy based on machine learning approach

Raman spectroscopy can be effectively used for detection and analysis of chemical agents that are serious threats in modern warfare, but the detection and analysis performance is prone to deterioration due to noise. The existing denoising technique has limitations that there is no criterion for sele...

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Veröffentlicht in:	Journal of Raman spectroscopy 2024-04, Vol.55 (4), p.525-533
Hauptverfasser:	Lee, Juhyung, Lee, Woonghee
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical agents Data analysis denoising Euclidean geometry Information processing Learning algorithms Machine learning Noise reduction peak detection Raman spectroscopy Savitzky‐Golay filter Spectroscopy Spectrum analysis
Online-Zugang:	Volltext
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