Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing

Discover the cutting-edge insights in "Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing" by Ziad El-Khatib, published by Springer International Publishing AG in 2025. This 99-page hardback edition delves into the innovative application of Deep Learning (DL) techniques in the design of intelligent wireless communication systems, focusing on advanced receiver design. El-Khatib expertly illustrates how DL can transform traditional block-based wireless communication architectures, offering a fresh perspective on electronic circuits, microwaves, and signal processing. Ideal for professionals and enthusiasts in telecommunication and VLSI computing, this book serves as a vital resource for understanding the future of wireless communication technology. Don't miss the opportunity to enhance your knowledge with this essential read!