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Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing - Synthesis Lectures on Engineering, Science, and Technology Ziad El-Khatib 2024 edition
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Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing - Synthesis Lectures on Engineering, Science, and Technology
Ziad El-Khatib
This book describes Deep Learning-based architecture design for intelligent wireless communication systems and specifically for Deep Learning-based receiver design. Deep Learning-based architecture design utilizes Deep Learning (DL) techniques to reformulate the traditional block-based wireless communication architecture.
106 pages, 48 Illustrations, color; 12 Illustrations, black and white; Approx. 150 p. 50 illus. in c
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 16. januar 2025 |
| ISBN13 | 9783031737992 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 99 |
| Mål | 247 × 172 × 11 mm · 380 g |
| Språk | Tysk |
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