Book description
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, discretetime 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.
Table of contents
 Cover Page
 Title Page
 Copyright
 Dedication
 Contents
 Preface
 Chapter 1: Introduction
 Chapter 2: Stochastic Processes
 Chapter 3: Spectra of Stochastic Processes

Chapter 4: Linear Filtering of Stochastic Processes
 4.1 BASICS OF LINEAR TIMEINVARIANT FILTERING
 4.2 TIME DOMAIN DESCRIPTION OF FILTERING OF STOCHASTIC PROCESSES
 4.3 SPECTRA OF THE FILTER OUTPUT
 4.4 NOISE BANDWIDTH
 4.5 SPECTRUM OF A RANDOM DATA SIGNAL
 4.6 PRINCIPLES OF DISCRETETIME SIGNALS AND SYSTEMS
 4.7 DISCRETETIME FILTERING OF RANDOM SEQUENCES
 4.8 SUMMARY
 4.9 PROBLEMS
 Chapter 5: Bandpass Processes
 Chapter 6: Noise in Networks and Systems
 Chapter 7: Detection and Optimal Filtering
 Chapter 8: Poisson Processes and Shot Noise
 References
 Further Reading
 Appendix A: Representation of Signals in a Signal Space
 Appendix B: Attenuation, Phase Shift and Decibels
 Appendix C: Mathematical Relations
 Appendix D: Summary of Probability Theory
 Appendix E: Definition of a Few Special Functions
 Appendix F: The Q(.) and erfc Functions
 Appendix G: Fourier Transforms
 Appendix H: Mathematical and Physical Constants
 Index
Product information
 Title: Introduction to Random Signals and Noise
 Author(s):
 Release date: September 2005
 Publisher(s): Wiley
 ISBN: 9780470024119
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