Probability And Random Processes for Electrical And Computer Engineers

Gubner, John A.

ISBN 10: 0521864704 / ISBN 13: 9780521864701

Published by Cambridge University Press, 2006

About this Item

May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Seller Inventory # 4172936-5

Bibliographic Details

Title: Probability And Random Processes for ...

Publisher: Cambridge University Press

Publication Date: 2006

Binding: Hardcover

Condition: good

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.