Probability and Random Processes for Electrical and Computer Engineers
| Author | : | |
| Rating | : | 4.21 (979 Votes) |
| Asin | : | 0521864704 |
| Format Type | : | paperback |
| Number of Pages | : | 628 Pages |
| Publish Date | : | 2015-09-24 |
| Language | : | English |
DESCRIPTION:
W Boudville said well suited for college. 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 te. Jorge Espinosa said The subject itself is already difficult for most. It. The subject itself is already difficult for most. It does an ok job. It was required for my course so, there wasn't really a choice.. Not a good book The book is confusing and hard to follow. The book is required for the class, but I typically use other resources for my information.
"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
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. 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. Further resources for this title, including solutions (for instructors only), are available online at cambridge/9780521864701.. 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 later chapters have a m
John A. His research interests include ultra-wideband communications, point processes and shot noise, subspace methods in statistical processing, and information theory. 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.