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.
Chapter 1 Prologue Chapter 2 Fourier Theory and Communication Signals Chapter 3 Amplitude Modulation Chapter 4 Phase and Frequency Modulation Chapter 5 Random Variables and Processes Chapter 6 Noise in Analog Modulation Chapter 7 Digital Representation of Analog Signals Chapter 8 Baseband Transmission of Digital Signals Chapter 9 Band-pass Transmission of Digital Signals Chapter 10 Information and Forward Error Correction
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.