Probability and Random Processes for Electrical and Computer Engineers

Gubner, John A.

ISBN 10: 0521864704 / ISBN 13: 9780521864701

Edité par Cambridge University Press, 2006

A propos de cet article

BOX packed with padding. (See Photos)! Pages: not written on, clean, bright, odor free, fine edges. Cover: clean, bright, light bumping to edges, small scuff at back bottom edge. Ships from California. Ships same or next day (weekdays and Saturdays)! ABOUT: 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. N° de réf. du vendeur ABE-1745283428701

Détails bibliographiques

Titre : Probability and Random Processes for ...

Éditeur : Cambridge University Press

Date d'édition : 2006

Reliure : Hardcover

Etat : Good

Edition : 1st Edition

A propos de ce titre

Synopsis :

This books covers the fundamental theory, and applications, of probability and random processes in electrical and computer engineering.

Présentation de l'éditeur:

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.