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Machine Learning for Fiber-Optic Communication Systems- Vendor:
Diana Moore
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Machine Learning for Fiber-Optic Communication Systems
$21.74
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- Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth overview of the latest machine learning (ML) techniques and their applications in future fiber-optic communication systems.
- This book covers a wide range of topics, including ML-based modulation and coding, ML-based channel estimation and equalization, ML-based resource allocation and scheduling, and ML-based security and privacy.
- It also presents a detailed overview of the challenges and opportunities of using ML in fiber-optic communication systems, and provides a comprehensive survey of the state-of-the-art ML techniques for fiber-optic communication systems.
- This book is an essential resource for researchers, engineers, and graduate students in the field of fiber-optic communication systems, as well as for anyone interested in the latest advances in ML.
- It is also a valuable reference for professionals in the telecommunications industry who want to learn more about the potential of ML in future fiber-optic communication systems.
Condition: New original from publisher
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