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Signal Processing for 5G: Algorithms and Implementations (IEEE Press)
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A comprehensive guide to all signal processing techniques in 5G wireless networks
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What Stands Out
Detalji o proizvodu
- Published by IEEE in partnership with Wiley
- Focuses on signal processing for 5G networks
- Written by leading experts in the field
- Covers in-demand topics in electrical engineering and computer science
- Delivers high-quality and authoritative content
- 1st Edition
| Publisher | Wiley-IEEE Press |
| Publication date | October 24, 2016 |
| Edition | 1st |
| Language | English |
| Print length | 616 pages |
| ISBN-10 | 9781119116462 |
| ISBN-13 | 978-1119116462 |
| Item Weight | 2.36 pounds (1.07 kg) |
| Dimensions | 6.9 x 1.6 x 9.8 inches (17.5 x 4.1 x 24.9 cm) |
Who Should Buy?
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Telecom Engineers
Ideal for telecom engineers working on 5G technology and looking for in-depth algorithms and implementation strategies.
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Graduate Students
A great resource for graduate students specializing in signal processing or telecommunications, offering necessary theoretical and practical knowledge.
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Research Academics
Useful for researchers in the field who require comprehensive information on up-to-date signal processing methodologies for 5G.
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Beginner Learners
Not suitable for beginners in signal processing who require foundational knowledge before tackling advanced 5G concepts.
OPIS PROIZVODA
Signal Processing for 5G: Algorithms and Implementations (IEEE Press)
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Pros
- Comprehensive coverage of 5G algorithms
- Clear explanations and practical examples
- Includes latest research findings
- Well-structured and easy to follow
Protiv
- Some sections may feel too technical.
Product Price History
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Značajke i prednosti
- Detailed coverage of network architecture, physical-layer, protocols and air interface
- Addresses spatial signal processing for 5G with orbital angular momentum multiplexing
- Provides implementation examples for effective learning
- Covers signal processing aspects of emerging network architectures
- Compares multiple access schemes for superior data transmission performance
- Demonstrates translation of signal processing theories into practical solutions
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