Hot Best Seller

Probability and Random Processes for Electrical and Computer Engineers

Availability: Ready to download

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 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.


Compare

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 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.

34 review for Probability and Random Processes for Electrical and Computer Engineers

  1. 5 out of 5

    Scott

    This is a heavy math text that is used in upper division or graduate work in probability and random processes. This book is designed to be used over two courses/semesters. The explanations are very good and samples are used to assist.

  2. 4 out of 5

    Maya

    Excellent text for getting back into statistics.

  3. 5 out of 5

    Syed Ali

  4. 5 out of 5

    Rick Novy

  5. 4 out of 5

    Cameron Blocker

  6. 4 out of 5

    Şeyma Akyürek

  7. 4 out of 5

    Orso

  8. 4 out of 5

    Hilary

  9. 4 out of 5

    Mark Benson

  10. 4 out of 5

    Joseph

  11. 5 out of 5

    Kaiser

  12. 4 out of 5

    Kalpana Lamba

  13. 4 out of 5

    Renan Utida Barbosa Ferreira

  14. 5 out of 5

    Ariyasacca

  15. 4 out of 5

    John

  16. 5 out of 5

    Jovany Agathe

  17. 4 out of 5

    Endris

  18. 4 out of 5

    Chris Aldrich

  19. 5 out of 5

    Bolbol Falcon

  20. 4 out of 5

    Rambabu Katla

  21. 5 out of 5

    C

  22. 4 out of 5

    Amos Goh

  23. 5 out of 5

    Longi

  24. 4 out of 5

    Angel Phyu

  25. 4 out of 5

    Aziz Moe

  26. 5 out of 5

    Hyeon IL Choi

  27. 4 out of 5

    Iman

  28. 4 out of 5

    The Architect

  29. 5 out of 5

    Joemini Poudel

  30. 4 out of 5

    Keng-Shih Lu

  31. 4 out of 5

    Jovany Agathe

  32. 5 out of 5

    Elizabeth Aedyn River

  33. 4 out of 5

    Zvr

  34. 5 out of 5

    Edward Moran

Add a review

Your email address will not be published. Required fields are marked *

Loading...