Probabilistic Methods of Signal and System Analysis (Oxford Series in Electrical and Computer Engineering) [Hardcover]

George R. Cooper (Author), the late Clare D. McGillem (Author)

Book Description

Publication Date: September 3, 1998 | ISBN-10: 0195123549 | ISBN-13: 978-0195123548 | Edition: 3

Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for graduate students and practicing engineers.
Thoroughly revised and updated, this third edition incorporates increased use of the computer in both text examples and selected problems. It utilizes MATLAB as a computational tool and includes new sections relating to Bernoulli trials, correlation of data sets, smoothing of data, computer computation of correlation functions and spectral densities, and computer simulation of systems. All computer examples can be run using the Student Version of MATLAB. Almost all of the examples and many of the problems have been modified or changed entirely, and a number of new problems have been added. A separate appendix discusses and illustrates the application of computers to signal and system analysis.

Editorial Reviews

Review

"Still the best textbook in probability and random signal theory written for undergraduate electrical engineering courses."--Behnam Kamali, Mercer University

About the Author

George R. Cooper and Clare D. McGillem are both at Purdue University.

Product Details

• Hardcover: 480 pages
• Publisher: Oxford University Press, USA; 3 edition (September 3, 1998)
• Language: English
• ISBN-10: 0195123549
• ISBN-13: 978-0195123548
• Product Dimensions: 9.2 x 7.5 x 1.1 inches
• Shipping Weight: 2.3 pounds (View shipping rates and policies)
• Average Customer Review: 2.9 out of 5 stars  See all reviews (8 customer reviews)
• Amazon Best Sellers Rank: #561,220 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

5 of 5 people found the following review helpful:

1.0 out of 5 stars Not Enough Examples, December 3, 2008

By 

Joseph J. Pedalino - See all my reviews
(REAL NAME)   

This review is from: Probabilistic Methods of Signal and System Analysis (Oxford Series in Electrical and Computer Engineering) (Hardcover)

This book does not provide enough examples to thoroughly cover each chapter. The end of chapter exercises are much harder than the examples given in the chapter. This book leaves you wanting more for your money. I advise any one to not buy or use this book. I had to use other books to try and figure out how to solve the problems for homework. I am going to put this book on my bookshelf and let it gather dust, its almost totally useless.

3 of 3 people found the following review helpful:

3.0 out of 5 stars View from a student subjected to this book, February 24, 2001

By A Customer

This review is from: Probabilistic Methods of Signal and System Analysis (Oxford Series in Electrical and Computer Engineering) (Hardcover)

While probably not the worst book I've had to learn from, it seems like the people who wrote this book subscribe to the same philosophy of teaching that my professor uses, which is namely to keep closely to theory and not use too many examples. At least not any fully worked out examples, and hardly any with actual numbers. As a result, it's difficult to learn and easy to get lost.

At the same time, I've looked in some other books and they're not much better. Woe is the student who has to learn solely from such an obtuse book (woe is me)

4 of 5 people found the following review helpful:

2.0 out of 5 stars Very litte content, October 14, 2003

By A Customer

This review is from: Probabilistic Methods of Signal and System Analysis (Oxford Series in Electrical and Computer Engineering) (Hardcover)

My school uses this book to teach random signals, and I feel that the content is quite lacking. The theory presented is too basic, and the authors don't provide any further explantions. The examples presented are too simple and too few. Additionally, they don't show how harder problems can be solved. The end-of-chapter problems aren't very easy to solve if you're only consulting this book. There are exercises presented for you to try during the chapter in addition to the end-of-chapter problems, but the book doesn't show how to do these problems and only gives you the final answers instead. On top of this, sometimes, the answers for the exercises are switched, leaving you wondering for a few minutes what you might have done wrong.

As a comparision to other books, the chapter about several random variables in this book was approximately 35 pages long, while the book by Papoulis (another book I've consulted) covers this material in 70 pages. I've taken a look at some other books, and one book that comes close to my tastes is Schaum's Outline of Probability, Random Variables, and Random Processes since it provides a whole lot of examples I can work through.