Digital Communication Systems / Edition 1

by Simon Haykin

Overview

Offers the most complete, up-to-date coverage available on the principles of digital communications. Focuses on basic issues, relating theory to practice wherever possible. Numerous examples, worked out in detail, have been included to help the reader develop an intuitive grasp of the theory. Topics covered include the sampling process, digital modulation techniques, error-control coding, robust quantization for pulse-code modulation, coding speech at low bit radio, information theoretic concepts, coding and computer communication. Because the book covers a broad range of topics in digital communications, it should satisfy a variety of backgrounds and interests, and offers a great deal of flexibility for teaching the course. The author has included suggested course outlines for courses at the undergraduate or graduate levels.

Product Details

ISBN-13:	2900471647354
Publication date:	02/25/2013
Pages:	800
Product dimensions:	6.50(w) x 1.50(h) x 9.50(d)

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

Introduction.
Fundamental Limits on Performance.
Sampling Process.
Coding Techniques for Analog Signals.
Baseband Shaping for Data Transmission.
Detection and Estimation.
Digital Modulation Techniques.
Error Control Coding.
Spread Spectrum Communications.
Computer Communications.
Appendixes