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Machine Learning and Wireless Communications
Andrea Goldsmith
(Illustrated by)
·
Yonina C. Eldar
(Illustrated by)
·
Deniz Gündüz
(Illustrated by)
·
Cambridge University Press
· Hardcover
Machine Learning and Wireless Communications - Eldar, Yonina C. ; Goldsmith, Andrea ; Gündüz, Deniz
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Origin: U.S.A.
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Wednesday, July 17.
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Synopsis "Machine Learning and Wireless Communications"
How can machine learning help the design of future communication networks - and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications - an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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