Probability and Random Processes for Electrical and Computer...

Features

• Cover Type: Hard Cover with 640 pages
• Published by: Cambridge University Press
• Edition: 1st Edition June 5, 2006
• Written in: English
• ISBN 10 Number: 0521864704
• ISBN 13 Number: 978-0521864701
• Book Dimensions: 9.7 x 7 x 1.4 inches
• Weighs: 3.1 pounds

Product 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

Product Description
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.

Reader Reviews
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.