Probability and Random Processes: With Applications to Signal Processing and Communications

by Scott Miller

Overview

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques.

The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields.

* Exceptional exposition and numerous worked out problems make the book extremely readable and accessible
* The authors connect the applications discussed in class to the textbook
* The new edition contains more real world signal processing and communications applications
* Includes an entire chapter devoted to simulation techniques

Product Details

ISBN-13:	9780080470429
Publisher:	Elsevier Science & Technology Books
Publication date:	10/15/2004
Sold by:	Barnes & Noble
Format:	eBook
Pages:	552
File size:	14 MB
Note:	This product may take a few minutes to download.

About the Author

As a correspondent for The Wall Street Journal and Reuters news agency, Scott Miller spent nearly two decades in Asia and Europe, reporting from more than twenty-five countries. His articles—covering fields as varied as the Japanese economic collapse, the birth of a single European currency, French culinary traditions, and competitive speed knitting—have also appeared in The Washington Post and the Far Eastern Economic Review, among others. He has been a contributor to CNBC and Britain’s Sky News.

Table of Contents

Preface
1. Introduction
2. Introduction to Probability Theory
3. Random Variables, Distributions and Density Functions
4. Operations on a Single Random Variable
5. Pairs of Random Variables
6. Multiple Random Variables
7. Random Sequences and Series
8. Random Processes
9. Markov Processes
10. Power Spectral Density
11. Random Processes in Linear Systems
12. Simulation Techniques
Appendices

What People are Saying About This

From the Publisher

The authors have focussed on creating a more level presentation and have developed more pertinent applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course

Editorial Reviews

"...a utilitarian toolkit, to help the reader learn how to solve problems, while skirting technical issues such as measure theory…fills a particular niche in the literature, and is certainly recommended by me." —MathSciNet

"...primarily focused toward undergraduate students in areas of electrical and computer engineering...the book is very well written and wasy to read and follow." —Ali Esmaili, in TECHNOMETRICS, VOL. 47, 2005

"...very well written...I think this is a highly valuable textbook that is very recommendable for students, researchers as well as practitioners interested in signal processing and communications." —Stefan Reh, Carnegie Mellon University

"...it is well written, providing the intended readership with tools and methods to study and solve problems concerning random signals and systems." —Evelyn Buckwar, Zentralblatt MATH Berlin

"Electrical and computer engineers Miller (Texas A&M U.) and Childers (emeritus, U. of Florida) present a textbook for an upper-division undergraduate course in probability, or an introductory graduate course in random processes within an electrical engineering curriculum. Students are assumed to have the background appropriate to those levels. The area is primarily mathematical, but they treat the mathematics as a tool for engineers rather than a rigorous or elegant entity in its own right. They seek a balance between explaining elementary concepts clearly and providing enough depth that students can study modern communications systems, control systems, signal processing techniques, and other applications." —Reference and Research Book News, Inc.

From the Publisher