The fourth edition of Digital Communications has undergone a minor revision. Several new topics have been added, including serial and parallel concatenated codes, punctured convolutional codes, turbo TCM and turbo equalization, and spatial multiplexing. Since this is an introductory-level text, the treatment of these topics is limited in scope.

The book is designed to serve as a text for a first-year graduate-level course for students in electrical engineering. It is also designed to serve as a text for self-study and as a reference book for the practicing engineer involved in the design of digital communications systems. As a background, I presume that the reader has a thorough understanding of basic calculus and elementary linear systems theory and some prior knowledge of probability and stochastic processes.

2 Probability and Stochastic Processes

3 Source Coding

4 Characterization of Communication Signals and Systems

5 Optimum Receivers for the Additive White Gaussian Noise Channel

6 Carrier and Symbol Synchronization

7 Channel Capacity and Coding

8 Block and Convolutional Channel Codes

9 Signal Design for Band-Limited Channels

10 Communication through Band-Limited Linear Filter Channels

11 Adaptive Equalization

12 Multichannel and Multicarrier Systems

13 Spread Spectrum Signals for Data Communications

14 Digital Communication through Fading Multipath Channels

15 Multiuser Communications

Appendix A The Levinson-Durbin Algorithm

Appendix B Error Probability for Multichannel Binary Signals

Appendix C Error Probabilities for Adaptive Reception of M-phase Signals

Appendix D Square-Root Factorization

REVIEW

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