Description: Probability and Random Processes for Electrical and Computer Engineers This books covers the fundamental theory, and applications, of probability and random processes in electrical and computer engineering. John A. Gubner (Author) 9780521864701, Cambridge University Press Hardback, published 1 June 2006 646 pages 24.9 x 17 x 3.3 cm, 1.38 kg '… stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.' IEEE Software 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. 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. Subject Areas: Communications engineering / telecommunications [TJK]
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BIC Subject Area 1: Communications engineering / telecommunications [TJK]
Number of Pages: 646 Pages
Publication Name: Probability and Random Processes for Electrical and Computer Engineers
Language: English
Publisher: Cambridge University Press
Item Height: 249 mm
Subject: Engineering & Technology, Mathematics
Publication Year: 2006
Type: Textbook
Item Weight: 1380 g
Subject Area: Electrical Engineering
Author: John A. Gubner
Item Width: 170 mm
Format: Hardcover
