Hongwei Wang

Jilin University

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Xiaotong Zhang

Jilin University

Chen Chen

Huawei Technologies (China)

Jiawen Kang

Jilin University

Dezhuang Meng

State Grid Corporation of China (China)

Tianyu Zhang

East China University of Science and Technology

Zhengming Mu

Jilin University

Meng Zhou

Beijing National Laboratory for Molecular Sciences

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Jilin University

Dalian University of Technology

China Land Surveying and Planning Institute

Huawei Technologies (China)

Xi'an Jiaotong University

Tongling University

Xidian University

Jilin Medical University

Anhui Normal University

Tsinghua University

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

Sensors (2018)

Tianyu Zhang Jiawen Kang Dezhuang Meng Hongwei Wang Zhengming Mu

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.

SIGNAL (programming language)

10.3390/s18124295

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