Machine Learning for Wireless Communication

Name: Machine Learning for Wireless Communication
Brand: Springer, Berlin
SKU: 9783031941160
Price: 1147 CZK
Availability: InStock

Autor: Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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This book covers the basic principles of wireless communication while delving into the fundamentals...

Informace o knize

Autor

Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2025

Stránek

125

EAN

9783031941160

Enbook ID

48428005

Vydavatel

Springer, Berlin

Hmotnost

421

Rozměry

168 x 240

Kompletní popis

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. The authors provide real-world examples and case studies to illustrate the use of machine learning in wireless communication applications such as channel estimation, mobility prediction, resource allocation, and beamforming. This book is an essential resource for researchers, engineers, and students interested in understanding and applying machine learning techniques in the context of wireless communication systems.

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