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Sensors 2018, 18(12), 4295; https://doi.org/10.3390/s18124295

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

Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China
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Received: 22 October 2018 / Revised: 26 November 2018 / Accepted: 27 November 2018 / Published: 6 December 2018
(This article belongs to the Special Issue Sensor Signal and Information Processing II)
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Abstract

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. View Full-Text
Keywords: TDLAS; signal processing; gas sensor; denoise; interference fringe; background correction TDLAS; signal processing; gas sensor; denoise; interference fringe; background correction
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Zhang, T.; Kang, J.; Meng, D.; Wang, H.; Mu, Z.; Zhou, M.; Zhang, X.; Chen, C. Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy. Sensors 2018, 18, 4295.

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