Probability and Random Processes for Electrical and Computer Engineers (Hardcover)

John A. Gubner

ISBN 10: 0521864704 / ISBN 13: 9780521864701

Published by Cambridge University Press, Cambridge, 2006

About this Item

Hardcover. 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 The theory of probability has important applications for computer and electrical engineers as a tool to explain, model, analyse and design the technology they develop. Gubner presents the fundamentals of probability, then progresses to more complicated topics. Suitable for advanced undergraduates, graduates and as a reference for researchers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780521864701

Bibliographic Details

Title: Probability and Random Processes for ...

Publisher: Cambridge University Press, Cambridge

Publication Date: 2006

Binding: Hardcover

Condition: new

Edition: 1st Edition

About this title

Synopsis:

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.

Book 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 progresses from the advanced undergraduate level through to more complex topics suitable for graduates. With over 300 worked examples, some 800 homework problems and sections for exam preparation, this is an essential textbook for advanced undergraduate and graduate students and reference material for researchers. Further resources for this title, including solutions (for instructors only), are available online at www.cambridge.org/9780521864701.