Modern Communications

A Systematic Introduction
Erscheinungsjahr 2021
ISBN: 978-1-108-83343-1
Verlag: Cambridge University Press

Buch, Englisch, 350 Seiten, Format (B × H): 172 mm x 247 mm, Gewicht: 688 g

Designed for a single-semester course, this concise and approachable text covers all of the essential concepts needed to understand modern communications systems. Balancing theory with practical implementation, it presents key ideas as a chain of functions for a transmitter and receiver, covering topics such as amplification, up- and down-conversion, modulation, dispersive channel compensation, error-correcting codes, acquisition, multiple-antenna and multiple-input multiple-output antenna techniques, and higher level communications functions. Analog modulations are also presented, and all of the basic and advanced mathematics, statistics, and Fourier theory needed to understand the concepts covered is included. Supported online with PowerPoint slides, a solutions manual, and additional MATLAB-based simulation problems, it is ideal for a first course in communications for senior undergraduate and graduate students.

Autoren/Hrsg.

Bliss, Daniel W.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Funktechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Satellitenkommunikation, Satellitentechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Fernmeldetechnik

Inhaltsverzeichnis

Preface; Part I. Communications Systems: 1. Notation; 2. Basic radio; 3. Fundamental limits on communications; 4. Amplifiers and noise; 5. Up- and down-conversion; 6. Modulation and demodulation; 7. Dispersive channels; 8. Error-correcting codes; 9. Acquisition and synchronization; 10. Radio duplex, access, and networks; 11. Multiple-antenna and multiple-Input multiple-output communications; 12. Analog radio systems; Part II. Mathematical Background: 13. Useful mathematics; 14. Probability and statistics; 15. Fourier analysis; References; Index.

Über Autor(innen)

Bliss, Daniel W.
Daniel W. Bliss is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU), and is the Director of ASU's Center for Wireless Information Systems and Computational Architectures. He is a co-author of Adaptive Wireless Communications: MIMO Channels and Networks (Cambridge 2013).