Introduction to Analog and Digital Communications  (English, Undefined, Haykin Simon S.)

Introduction To Analog and Digital Communications offers readers an easy to understand explanation of digital and analog communication theory.

Summary Of The Book

Introduction To Analog and Digital Communications is a handy guide to understanding Digital and Analog Communication theory and its practical implementation. The book offers detailed explanations of analog and digital communication processes. Users get a thorough understanding of information bearing signals and their transmission by understanding the intricacies of the transmitter and the receiver. Electrical noise and multiple access techniques are also covered in an informative manner. Digital technology is given importance in this volume.

Helping readers understand the theories through relevant examples with detailed explanations is the highlight of the book. Problems and experiments are also presented. The mathematical aspects of communication theory are explained in a comprehensive manner, thereby helping readers understand and grasp the concepts better. Error Control Coding and Multi User communications are also covered in the book.

The volume contains chapters on Amplitude Modulation, Fourier Representation of Signals and Systems, Noise in Digital Communications, System and Noise Calculations, Angle Modulation, Digital Band-Pass Modulation Techniques, Baseband Data Transmission, Noise in Analog Communications, Random Signals and Noise. Additional information on useful topics such as Power Ratios and Decibel, Bessel Functions, Fourier Series, The Q-Function and Its Relationship to the Error Function, Schwarz's Inequality and Mathematical Tables has also been provided.

Introduction To Analog and Digital Communications is written in an accessible manner, intended to make it easy for both students and professors alike. The book is a helpful guide to a wide variety of users in the fields of communication engineering, design engineering, telecommunications, electrical engineering and system managing.

About The Authors

Simon Haykin is a professor at McMaster University, Ontario, Canada. His other works include Signals and Systems, Digital Communications, Adaptive Filter Theory, Neural Networks and Learning Machines, Adaptive Signal Processing: Next Generation Solutions, and Adaptive Radar Signal Processing. He is a member of IEEE and a Fellow in the Royal Society of Canada. His area of expertise lies in the fields of neural networks, adaptive filters and nonlinear dynamics.

Michael Moher has written other books titled Modern Wireless Communication and Communication Systems.