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 | | Probabilistic Methods of Signal and System Analysis (Oxford Series in Electrical and Computer Engineering) by George R. Cooper, the late Clare D. McGillem ISBN-10: 9780195123548 ISBN-10: 0-19-512354-9 ISBN-13: 9780195123548 ISBN-13: 978-0-19-512354-8 Hardcover 1998-09-03 Oxford University Press, USA Find Lowest Price |
Editorials | ||
Product Description 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. | ||
Reviews | ||
Very litte content 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. | ||
this is Amazing BOOK!! I read this book several times and I can say that it is the best statistical&probability book for engineers or for computer scientist. My major is Image Processing (DSP, DIP, DVP) and reading this book helps me to increase my professional knowlege and rise my skills. I sincerelly recommend this book for any non-math major person. Now this book becomes desktop book for me like "Numercal Recipes in C" for any algorithm developer. | ||
View from a student subjected to this book 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) | ||
The ideal first book on random signal processing As a professor in Electrical Engineering, I highly rate this book, describing it as the best text for an introductory course on prabability theory, statistics, random signals, and the analysis of systems with random signals as inputs. If you teach from this book, you can't go wrong! | ||