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Machine Learning and Wireless Communications
Hoofdkenmerken
Auteur: Yonina C. Eldar, Andrea Goldsmith, Deniz Gunduz, and H. Vincent Poor
Titel: Machine Learning and Wireless Communications
Uitgever: Cambridge University Press
ISBN: 9781108967730
ISBN boekversie: 9781108832984
Prijs: € 111,94
Verschijningsdatum: 04-08-2022
Inhoudelijke kenmerken
Categorie: Signals & Signal Processing
Taal: English
Imprint: Cambridge University Press
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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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