Communication Systems

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This best-selling, easy to read, communication systems book has been extensively revised to include an exhaustive treatment of digital communications. Throughout, it emphasizes the statistical underpinnings of communication theory in a complete and detailed manner. About The Author: Simon Haykin is a University Professor at McMaster University, Hamilton, Ontario, Canada. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communications systems. Dr. Haykin is the editor for a series of books on Adaptive and Learning Systems for Signal Processing, Communications and Control published by John Wiley & Sons, Inc. He is both an IEEE Fellow and Fellow of the Royal Society of Canada. Table Of Contents: Chapter 1: Fourier Analysis of Signals and Systems Chapter 2: Analog Modulation Theory Chapter 3: Probability Theory Chapter 4: Random Processes Chapter 5: Noise in Analog Modulation Systems Chapter 6: Information Theory Chapter 7: Analog to Digital Conversion and Data Compression Chapter 8: Signaling Over AWGN Channels Chapter 9: Synchronization Chapter 10: Signaling Over Band-Limited Channels Chapter 11: Multichannel Modulation Chapter 12: Signaling Over Fading Channels Chapter 13: Spread Spectrum Modulation Chapter 14: Error Control Coding Chapter 15: Multiuser Communications Appendix 1: Bessel Functions Appendix 2: Method of Lagrange Multipliers Appendix 3: Bounds on the Q-function Appendix 4: Cryptography Appendix 5: List of Tables Special Features: Communication Engineers, Telecommunications Professionals, Design Engineers, Electrical Engineers, System Managers