Selected Product:
| Probabilistic Methods of Signal and System Analysis (Oxford Series in Electrical and Computer Engineering)
Hardcover
Edition: 3
Author: George R. Cooper, the late Clare D. McGillem
Publisher: Oxford University Press, USA
Release Date: 1998-09-03
ISBN-10: 0195123549
ISBN-13: 9780195123548
List Price: $135.00
Average Customer Rating:
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Summaries and Customer Reviews are supplied by Amazon.com
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.
Not Enough Examples
| Customer Rating: | | 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. |
Very litte content
| Customer Rating: | | 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!!
| Customer Rating: | | 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. |
The ideal first book on random signal processing
| Customer Rating: | | 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! |
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