About the Book :
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.
Interesting Facts :
Without neglecting coverage of analog communications, the author presents the latest emerging technologies, such as digital subscriber lines (DSL), carrierless amplitude modulation/phase modulation (CAP), and discrete multi-tone (DMT).The author's easy-to-read writing style and superb organization makes the materials easy to understand.The book offers the use of MATLAB-- in a software laboratory for demonstrating important aspects of communication theory.
Chapter 1: Fourier Analysis of Signals and SystemsChapter 2: Analog Modulation TheoryChapter 3: Probability TheoryChapter 4: Random ProcessesChapter 5: Noise in Analog Modulation SystemsChapter 6: Information TheoryChapter 7: Analog to Digital Conversion and Data CompressionChapter 8: Signaling Over AWGN ChannelsChapter 9: SynchronizationChapter 10: Signaling Over Band-Limited ChannelsChapter 11: Multichannel ModulationChapter 12: Signaling Over Fading ChannelsChapter 13: Spread Spectrum ModulationChapter 14: Error Control CodingChapter 15: Multiuser CommunicationsAppendix 1: Bessel FunctionsAppendix 2: Method of Lagrange MultipliersAppendix 3: Bounds on the Q-functionAppendix 4: CryptographyAppendix 5: List of Tables