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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.
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Recensione
'... stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.' IEEE Software
Descrizione del libro
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.
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- EditoreCambridge University Press
- Data di pubblicazione2006
- ISBN 10 0521864704
- ISBN 13 9780521864701
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine646
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Probability and Random Processes for Electrical and Computer Engineers
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Probability and Random Processes for Electrical and Computer Engineers
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ISBN 13: 9780521864701
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Probability and Random Processes for Electrical and Computer Engineers
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Probability and Random Processes for Electrical and Computer Engineers
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