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Digital output compensation for precise frequency transfer over commercial fiber link
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作者 慈骋 吴虹 +5 位作者 唐然 刘波 陈星 章学松 张瑜 赵迎新 《Optoelectronics Letters》 EI 2018年第2期109-113,共5页
An ultra-highly precise and long-term stable frequency transmission system over 120 km commercial fiber link has been proposed and experimentally demonstrated. This system is based on digital output compensation techn... An ultra-highly precise and long-term stable frequency transmission system over 120 km commercial fiber link has been proposed and experimentally demonstrated. This system is based on digital output compensation technique to suppress phase fluctuations during the frequency transmission process. A mode-locked erbium-doped fiber laser driven by a hydrogen maser serves as an optical transmitter. Moreover, a dense wavelength division multiplexing system is able to separate forward and backward signals with reflection effect excluded. The ultimate fractional frequency instabilities for the long-distance frequency distributed system are up to 3.14×10^(-15) at 1 s and 2.96×10^(-19) at 10 000 s, respectively. 展开更多
关键词 digital output compensation for precise frequency transfer over commercial fiber link
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concept and experimental demonstration of physics-guided end-to-end learning for optical communication systems
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作者 QIARONG XIAO CHEN DING +2 位作者 TENGJI XU CHESTER SHU CHAORAN HUANG 《Photonics Research》 2025年第6期1469-1484,共16页
Driven by advancements in artificial intelligence,end-to-end learning has become a key method for system optimization in various fields,including communications.However,applying learning algorithms such as backpropaga... Driven by advancements in artificial intelligence,end-to-end learning has become a key method for system optimization in various fields,including communications.However,applying learning algorithms such as backpropagation directly to communication systems is challenging due to their non-differentiable nature.Existing methods typically require developing a precise differentiable digital model of the physical system,which is computationally complex and can cause significant performance loss after deployment.In response,we propose a novel end-to-end learning framework called physics-guided learning. 展开更多
关键词 system optimization developing precise differentiable digital model end end learning communication systems optical communication systems learning algorithms physics guided learning artificial intelligenceend end
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