Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal.

With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals.

Key features:

Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains.
Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver.
Examines optimal filtering methods and their consequences.
Presents a detailed discussion of the topic of Poisson processes and shot noise.

An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.

About the Author

Wim C. van Etten, University of Twente, Department of Electrical Engineering, Enschede, Netherlands
Wim Van Etten was appointed as a Full Professor of Telecommunications at the University of Twente, Enschede, the Netherlands, in 1994, where he heads a group on telecommunication engineering.
He is author or co-author of over eighty papers in international journals, conferences and symposia and his current interests comprise of optical communications, mobile communications, communication networks, detection, and simulation of communication systems.
He is also past-president of the NERG (Dutch Institute of Electronic and Radio Engineers) and Chairman of the executive committee of the IEEE Benelux joint Chapter on Communications and Vehicular Technology.