Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Probability and Random Processes
With Applications to Signal Processing and Communications
The authors have focused 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.
Scott Miller (Author), Donald Childers (Author)
9780121726515, Elsevier Science
Hardback, published 15 October 2004
552 pages, Approx. 100 illustrations
23.4 x 19 x 3.2 cm, 1.01 kg
"...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
Probability and Random Processes provides 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 includes unique chapters on narrowband random processes and simulation techniques. It also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Exceptional exposition and numerous worked out problems make the book extremely readable and accessible. It is meant for practicing engineers as well as graduate students.
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
Subject Areas: Signal processing [UYS], Communications engineering / telecommunications [TJK], Engineering: general [TBC], Electricity, electromagnetism & magnetism [PHK], Stochastics [PBWL], Probability & statistics [PBT]
