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Probability and Random Processes for Electrical and Computer Engineers [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Gubner, John A.
  • Author:  Gubner, John A.
  • ISBN-10:  0521864704
  • ISBN-10:  0521864704
  • ISBN-13:  9780521864701
  • ISBN-13:  9780521864701
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  646
  • Pages:  646
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2006
  • Pub Date:  01-May-2006
  • SKU:  0521864704-11-MPOD
  • SKU:  0521864704-11-MPOD
  • Item ID: 100863210
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jan 19 to Jan 21
  • Notes: Brand New Book. Order Now.
This books covers the fundamental theory, and applications, of probability and random processes in electrical and computer engineering.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.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.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 arelC/
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