Synopsis
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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Machine Learning Applied to Optical Communication Systems (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783725840960
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783725840960
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