A three-stage deep learning-based training frame for spectra baseline correction-Reference-Cited by-同舟云学术

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A three-stage deep learning-based training frame for spectra baseline correction

Published:2024 Issue:10 Volume:16 Page:1496-1507
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Jiao Qingliang¹²,Cai Boyong¹²,Liu Ming¹²^ORCID,Dong Liquan¹²,Hei Mei¹²,Kong Lingqin¹²,Zhao Yuejin¹²

Affiliation:

1. Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

2. Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, Zhejiang, 314019, China

Abstract

For spectrometers, baseline drift seriously affects the measurement and quantitative analysis of spectral data.

Funder

National Natural Science Foundation of China

Beijing Institute of Technology

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AY/D3AY02062B

Reference41 articles.

1. A new experimental apparatus for polarized spectral emissivity measurement in a controlled environment

2. A portable sensor for in-situ measurement of ammonia based on near-infrared laser absorption spectroscopy

3. Baseline correction by improved iterative polynomial fitting with automatic threshold

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