The renowned communications theorist Robert Gallager brings his lucid writing style to the study of the fundamental system aspects of digital communication for a one-semester course for graduate students. With the clarity and insight that have characterized his teaching and earlier textbooks, he develops a simple framework and then combines this with careful proofs to help the reader understand modern systems and simplified models in an intuitive yet precise way. A strong narrative and links between theory and practice reinforce this concise, practical presentation. The book begins with data compression for arbitrary sources. Gallager then describes how to modulate the resulting binary data for transmission over wires, cables, optical fibers, and wireless channels. Analysis and intuitive interpretations are developed for channel noise models, followed by coverage of the principles of detection, coding, and decoding. The various concepts covered are brought together in a description of wireless communication, using CDMA as a case study.Read more
- Expands the concepts from simple models, combining careful proofs and intuitive ideas
- Links the basic theory with engineering practice, providing a wealth of insights that can be applied later
- Contains numerous worked examples and homework problems to aid understanding. Solutions for problems are available for instructors only at www.cambridge.org/9780521879071
- Covers the fundamentals of digital communication with a lecture-style exposition
Reviews & endorsements
"Professor Gallager is a legendary figure … known for his insight and excellent style of exposition."
Professor Lang Tong, Cornell University
Review was not posted due to profanity×
- Date Published: March 2008
- format: Hardback
- isbn: 9780521879071
- length: 422 pages
- dimensions: 251 x 181 x 24 mm
- weight: 0.99kg
- contains: 100 b/w illus. 169 exercises
- availability: Available
Table of Contents
1. Introduction to digital communication
2. Coding for discrete sources
4. Source and channel waveforms
5. Vector spaces and signal space
6. Channels, modulation, and demodulation
7. Random processes and noise
8. Detection, coding and decoding
9. Wireless digital communication.
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