Probability and Random Processes for Electrical and Computer Engineers

John A. Gubner (University of Wisconsin, Madison)

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English

Cambridge University Pres
01 June 2006

Mathematics & Sciences; Probability & statistics; Maths for engineers; Electrical engineering; Communications engineering & telecommunications

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.

By: John A. Gubner (University of Wisconsin Madison)
Imprint: Cambridge University Pres
Country of Publication: United Kingdom
Dimensions: Height: 249mm, Width: 170mm, Spine: 33mm
Weight: 1.380kg
ISBN: 9780521864701
ISBN 10: 0521864704
Pages: 640
Publication Date: 01 June 2006
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Hardback
Publisher's Status: Active

Preface; 1. Introduction to probability; 2. Introduction to discrete random variables; 3. More about discrete random variables; 4. Continuous random variables; 5. Cumulative distribution functions and their applications; 6. Statistics; 7. Bivariate random variables; 8. Introduction to random vectors; 9. Gaussian random vectors; 10. Introduction to random processes; 11. Advanced concepts in random processes; 12. Introduction to Markov chains; 13. Mean convergence and applications; 14. Other modes of convergence; 15. Self similarity and long-range dependence; Bibliography; Index.

John A. Gubner received his Ph.D. in 1988 from the University of Maryland at 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.

Reviews for 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.' IEEE Software