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Deep learning enables temperature-robust spectrometer with high resolution
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作者 gan jiaan SHEN Mengyan +2 位作者 XIAO Xin NONG Jinpeng FENG Fu 《Optoelectronics Letters》 EI 2021年第12期705-709,共5页
Traditional multi-mode fiber spectrometers rely on algorithms to reconstruct the transmission matrix of the fiber,facing the challenge that the same wavelength can lead to many totally de-correlated speckle patterns a... Traditional multi-mode fiber spectrometers rely on algorithms to reconstruct the transmission matrix of the fiber,facing the challenge that the same wavelength can lead to many totally de-correlated speckle patterns as the transfer matrix changes rapidly with environment fluctuations(typically temperature fluctuation).In this manuscript,we theoretically propose a multi-mode-fiber(MMF)based,artificial intelligence assisted spectrometer which is ultra-robust to temperature fluctuation.It has been demonstrated that the proposed spectrometer can reach a resolution of 0.1 pm and automatically reject the noise introduced by temperature fluctuation.The system is ultra-robust and with ultra-high spectral resolution which is beneficial for real life applications. 展开更多
关键词 DEEP artificial RESOLUTION
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