解耦(概率)
混叠
算法
红外线的
计算机科学
人工智能
物理
光学
工程类
控制工程
欠采样
作者
Hao Xiong,Ligang Shao,Yuan Cao,Guishi Wang,Ruifeng Wang,Jianwei Mei,Haibo Liu,Xiaoming Gao
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2024-08-16
标识
DOI:10.1021/acssensors.4c01514
摘要
Owing to the overlapping and cross-interference of absorption lines in multicomponent gases, the simultaneous measurement of such gases via laser absorption spectroscopy frequently necessitates the use of supplementary pressure sensors to distinguish the spectral lines. Alternatively, it requires multiple lasers combined with time-division multiplexing to independently scan the absorption peaks of each gas, thereby preventing interference from other gases. This inevitably escalates both the cost of the system and the complexity of the gas pathway. In response to these challenges, a mid-infrared sensor employing a neural network-based decoupling algorithm for aliasing spectral is developed, enabling the simultaneous detection of methane(CH
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