This is a concise presentation of the concepts underlying the design of digital communication systems, without the detail that can overwhelm students. Many examples, from the basic to the cutting-edge, show how the theory is used in the design of modern systems and the relevance of this theory will motivate students. The theory is supported by practical algorithms so that the student can perform computations and simulations. Leading edge topics in coding and wireless communication make this an ideal text for students taking just one course on the subject. Fundamentals of Digital Communications has coverage of turbo and LDPC codes in sufficient detail and clarity to enable hands-on implementation and performance evaluation, as well as 'just enough' information theory to enable computation of performance benchmarks to compare them against. Other unique features include space-time communication and geometric insights into noncoherent communication and equalization.
Rezensionen / Stimmen
'Madhow is a highly established researcher with a good style that is easy to read.' Professor Elza Erkip, Polytechnic University, Brooklyn
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Worked examples or Exercises; 139 Line drawings, unspecified
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 32 mm
Gewicht
ISBN-13
978-0-521-87414-4 (9780521874144)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Upamanyu Madhow is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He received his PhD in Electrical Engineering from the University of Illinois, Urbana-Champaign, in 1990, where he later served on the faculty. A Fellow of the IEEE, he worked for several years at Telcordia before moving to academia.
Autor*in
University of California, Santa Barbara
Preface; 1. Introduction; 2. Modulation; 3. Demodulation; 4. Synchronization and noncoherent communication; 5. Channel equalization; 6. Information-theoretic limits and their computation; 7. Channel coding; 8. Wireless communication; Appendices: A. Probability, random variables and random processes; B. The Chernoff bound; C. Jensen's inequality.
