Generative Learning for Wireless Communications : Fundamentals and Applications
Book Details
Format
Paperback / softback
ISBN-10
0443414971
ISBN-13
9780443414978
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 25th, 2026
Print length
325 Pages
Weight
846 grams
Dimensions
19.00 x 23.30 x 2.20 cms
KSh 23,400.00
Manufactured on Demand
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Generative learning (GL) has emerged as an essential tool for data processing and network optimization in the broad area of next-generation communication systems. Generative Learning for Wireless Communications: Fundamentals and Applications provides a comprehensive and systematic tutorial for applying generative learning models to wireless communications. It explains the core concepts of state-of-the-art generative learning models, including generative adversarial nets, variational autoencoder, and other advanced models, such as transformers and diffusion models, and then shows their application to specific areas in wireless communications.
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