Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy

Tunable diode laser absorption spectroscopy technology (TDLAS) has been widely applied in gaseous component analysis based on gas molecular absorption spectroscopy. When dealing with molecular absorption signals, the desired signal is usually interfered by various noises from electronic components a...

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Detalles Bibliográficos
Autores principales: Zhang, Tianyu, Kang, Jiawen, Meng, Dezhuang, Wang, Hongwei, Mu, Zhengming, Zhou, Meng, Zhang, Xiaotong, Chen, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308561/
https://www.ncbi.nlm.nih.gov/pubmed/30563211
http://dx.doi.org/10.3390/s18124295
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author Zhang, Tianyu
Kang, Jiawen
Meng, Dezhuang
Wang, Hongwei
Mu, Zhengming
Zhou, Meng
Zhang, Xiaotong
Chen, Chen
author_facet Zhang, Tianyu
Kang, Jiawen
Meng, Dezhuang
Wang, Hongwei
Mu, Zhengming
Zhou, Meng
Zhang, Xiaotong
Chen, Chen
author_sort Zhang, Tianyu
collection PubMed
description Tunable diode laser absorption spectroscopy technology (TDLAS) has been widely applied in gaseous component analysis based on gas molecular absorption spectroscopy. When dealing with molecular absorption signals, the desired signal is usually interfered by various noises from electronic components and optical paths. This paper introduces TDLAS-specific signal processing issues and summarizes effective algorithms so solve these.
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spelling pubmed-63085612019-01-04 Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy Zhang, Tianyu Kang, Jiawen Meng, Dezhuang Wang, Hongwei Mu, Zhengming Zhou, Meng Zhang, Xiaotong Chen, Chen Sensors (Basel) Review Tunable diode laser absorption spectroscopy technology (TDLAS) has been widely applied in gaseous component analysis based on gas molecular absorption spectroscopy. When dealing with molecular absorption signals, the desired signal is usually interfered by various noises from electronic components and optical paths. This paper introduces TDLAS-specific signal processing issues and summarizes effective algorithms so solve these. MDPI 2018-12-06 /pmc/articles/PMC6308561/ /pubmed/30563211 http://dx.doi.org/10.3390/s18124295 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Zhang, Tianyu
Kang, Jiawen
Meng, Dezhuang
Wang, Hongwei
Mu, Zhengming
Zhou, Meng
Zhang, Xiaotong
Chen, Chen
Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
title Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
title_full Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
title_fullStr Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
title_full_unstemmed Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
title_short Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
title_sort mathematical methods and algorithms for improving near-infrared tunable diode-laser absorption spectroscopy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308561/
https://www.ncbi.nlm.nih.gov/pubmed/30563211
http://dx.doi.org/10.3390/s18124295
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