Machine Learning Applied to Optical Communication Systems
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This reprint explores how machine learning is revolutionizing optical communication systems, featuring topics ranging from long-haul coherent links and short-reach IM/DD systems to PONs, VLC, and chaos-based secure communication. Covering neural network equalization, optical signal processing, and system-level intelligence, this collection highlights cutting-edge research and future directions at the intersection of AI and photonics.
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This reprint explores how machine learning is revolutionizing optical communication systems, featuring topics ranging from long-haul coherent links and short-reach IM/DD systems to PONs, VLC, and chaos-based secure communication. Covering neural network equalization, optical signal processing, and system-level intelligence, this collection highlights cutting-edge research and future directions at the intersection of AI and photonics.
Beschrijving
(2)
Bol
This reprint explores how machine learning is revolutionizing optical communication systems, featuring topics ranging from long-haul coherent links and short-reach IM/DD systems to PONs, VLC, and chaos-based secure communication. Covering neural network equalization, optical signal processing, and system-level intelligence, this collection highlights cutting-edge research and future directions at the intersection of AI and photonics.
AmazonPages: 244, Hardcover, Mdpi AG
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