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  • Cited by 232
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2012
      June 2006
      ISBN:
      9780511813610
      9780521864701
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      1.38kg, 646 Pages
      Dimensions:
      Weight & Pages:
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    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 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.

    Reviews

    '… stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.'

    Source: IEEE Software

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