Digital Communications Fundamentals and Applications

The Best-Selling Introduction to Digital Communications: Thoroughly Revised and Updated for OFDM, MIMO, LTE, and More

With remarkable clarity, Drs. Bernard Sklar and fred harris introduce every digital communication technology at the heart of today’s wireless and Internet revolutions, with completely new chapters on synchronization, OFDM, and MIMO.

Building on the field’s classic, best-selling introduction, the authors provide a unified structure and context for helping students and professional engineers understand each technology, without sacrificing mathematical precision. They illuminate the big picture and details of modulation, coding, and signal processing, tracing signals and processing steps from information source through sink. Throughout, readers will find numeric examples, step-by-step implementation guidance, and diagrams that place key concepts in clear context.

• Understand signals, spectra, modulation, demodulation, detection, communication links, system link budgets, synchronization, fading, and other key concepts
• Apply channel coding techniques, including advanced turbo coding and LDPC
• Explore multiplexing, multiple access, and spread spectrum concepts and techniques
• Learn about source coding: amplitude quantizing, differential PCM, and adaptive prediction
• Discover the essentials and applications of synchronization, OFDM, and MIMO technology

More than ever, this is an ideal resource for practicing electrical engineers and students who want a practical, accessible introduction to modern digital communications.
This Third Edition includes online access to additional examples and material on the book’s website.

Dr. Bernard Sklar has over 50 years of experience in technical design and management positions at Republic Aviation, Hughes Aircraft, Litton Industries, and at The Aerospace Corporation, where he helped develop the MILSTAR satellite system. He is now President of Communications Engineering Services, a consulting company he founded in 1984. He has taught engineering courses at several universities, including UCLA and USC, and has trained professional engineers worldwide. Dr. Sklar has published and presented scores of technical papers, and is recipient of the 1984 Prize Paper Award from the IEEE Communications Society for his tutorial series on digital communications. He is a past chairman of the Los Angeles Council IEEE Education Committee.
Frederic J. Harris is professor of electrical engineering and CUBIC signal processing chair at San Diego State University (SDSU) and an internationally renowned expert on DSP and communication systems. The co-inventor of the Blackman-Harris Filter, his many technical papers include the seminal work "On the use of Windows for Harmonic Analysis with the Discrete Fourier Transform." The author of Multi-rate Signal Processing for Communication Systems, he received his B.S. from Brooklyn Polytechnic Institute, M.S. from SDSU, and PhD from Aalborg University, and did PhD course work at University of California, San Diego. An IEEE Fellow, he was co-editor-in-chief of Digital Signal Processing. In early 2010 the "Fred Harris Endowed Chair in Digital Signal Processing" fund was established by Eric Johnson and Qualcomm executive Peggy Johnson to help future students pursue careers in the communications specialty of electrical engineering, and to honor Harris's legacy.

1. Signals and Spectra
2. Formatting and Baseband Modulation
3. Baseband Demodulation/Detection
4. Bandpass Modulation and Demodulation/Detection
5. Communications Link Analysis
6. Channel Coding I: Waveform Codes and Block Codes
7. Channel Coding II: Convolutional Codes and Reed-Solomon Codes
8. Channel Coding III: Turbo Codes and Low-Density Parity Check (LDPC) Codes
9. Modulation and Coding Trade offs
10. Synchronization
11. Multiplexing and Multiple Access
12. Spread Spectrum Techniques
13. Source Coding
14. Fading Channels
15. The ABCs of OFDM
16. The Magic of MIMO
17. Long Term Evolution (LTE) Wireless, Software Defined Radio and 5G
Appendix A. Review of Fourier Techniques
Appendix B. Fundamentals of Statistical Decision Theory
Appendix C. Response of A Correlator to White Noise
Appendix D. Often Used Identities
Appendix E. s-Domain, z-Domain and Digital Filtering
Appendix F. List of Symbols