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Probability and Random Processes for Electrical and Computer Engineers, by John A. Gubner
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The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students. Further resources for this title, including solutions (for instructors only), are available online at www.cambridge.org/9780521864701.
- Sales Rank: #239502 in Books
- Published on: 2006-06-05
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x 1.38" w x 6.85" l, 3.05 pounds
- Binding: Hardcover
- 628 pages
Review
"Probability and Random Processes for Electrical and Computer Engineers stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes."
Scott Brookhart, Bookshelf
About the Author
John A. Gubner received his PhD in 1988 from the University of Maryland, College Park, after which he joined the University of Wisconsin, Madison, where he is currently a faculty member in the Department of Electrical and Computer Engineering. His research interests include ultra-wideband communications, point processes and shot noise, subspace methods in statistical processing, and information theory.
Most helpful customer reviews
9 of 9 people found the following review helpful.
an excellent book to begin probability
By aj_pa
This is an excellent book on probability. What I liked about it is the fact that it is sprinkled with numeours examples. The language the author has used is also easy to understand but at the same time, formal. It really strikes the balance.
However, I think there should be more explanation of combinatorics in ch2. But if a person has had some prior knowledge of probability, they should refer to some other book for that portion.
2 of 2 people found the following review helpful.
An easy to use book
By S. Jacobs
This book is very effective in bringing out important concepts and applying the methods it teaches. The presentation of material is concise and intuitive, and the examples help flesh out the concepts.
The exercises are helpful, with many "show this is true" type of problems that are still simple enough to be doable, but still stretching your understanding of the concepts. The exam preparation sections at the end of each chapter are incredibly helpful.
0 of 1 people found the following review helpful.
well suited for college
By W Boudville
Gubner provides an excellent text for undergrads or grads wanting a solid background in applying the ideas of probability and random processes. The emphasis is on applications in electrical engineering. The book presupposes a solid background in calculus and some circuit theory. Ideally, the student might be a third year undergrad or higher.
The main ideas in probability are developed. Getting to the Central Limit Theorem and the Gaussian (bell) curve. The probability distributions most useful to you might be the continuous ones.
Then, the text develops the ideas of random processes. When these can be assumed to be stationary, then it makes tractable vast areas of applications, as in the communications theory of the signal to noise ratio of a channel.
The book shines as a text for a university course because of the wealth of examples and problem sets. The difficult of the latter varies considerably, which is also another advantage to a lecturer facing students with a range of abilities.
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