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Updated: Sep 8, 2025

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通过CNN变压器消除噪声框架增强光声微量气体检测

Chen Zhang1,2, Yan Gao3, Ruyue Cui1,2

  • 1State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan 030006, China.

Photoacoustics
|August 20, 2025
PubMed
概括

一个新的深度学习模型通过显著减少光声谱信号中的噪声来增强气体检测. 这种先进的技术提高了像乙这样的低度气体的测量精度和可靠性.

关键词:
转换器框架深度学习光声谱学信号消噪微量气体检测

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