{
"item_title" : "Machine Learning Applied to Optical Communication Systems",
"item_author" : [" Jinlong Wei", "Zhaopeng Xu "],
"item_description" : "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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Overview
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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Details
- ISBN-13: 9783725840960
- ISBN-10: 3725840962
- Publisher: Mdpi AG
- Publish Date: June 2025
- Dimensions: 9.61 x 6.69 x 0.75 inches
- Shipping Weight: 1.63 pounds
- Page Count: 244
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