Other available formats:
Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
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.Read more
- Each chapter contains a 'Notes' section at the end to discuss the more technical points of theory
- There are worked examples throughout the main text, accompanied by homework problems (800 in total) and exam preparation at the end of each chapter: a number of examples and problems use MATLAB
- The book is structured so that the level of the text varies as the material progresses, such that instructors can target the level (undergraduate or graduate) of the course to suit the background of the students
Reviews & endorsements
"Probability and Random Processes for Electrical and Computer Engineers stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes."
Scott Brookhart, Bookshelf
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: June 2006
- format: Hardback
- isbn: 9780521864701
- length: 646 pages
- dimensions: 249 x 170 x 33 mm
- weight: 1.38kg
- contains: 801 exercises
- availability: Available
Table of Contents
1. Introduction to probability
2. Introduction to discrete random variables
3. More about discrete random variables
4. Continuous random variables
5. Cumulative distribution functions and their applications
7. Bivariate random variables
8. Introduction to random vectors
9. Gaussian random vectors
10. Introduction to random processes
11. Advanced concepts in random processes
12. Introduction to Markov chains
13. Mean convergence and applications
14. Other modes of convergence
15. Self similarity and long-range dependence
Welcome to the resources site
Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
*This title has one or more locked files and access is given only to instructors adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.
These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.
If you are having problems accessing these resources please email email@example.com
Instructors have used or reviewed this title for the following courses
- Applied Mathematics for Telecommunication
- Engineering Probability and Statistics
- Inrtoduction to Probability and Random Processes
- Noise Theory
- Probability and Random Process
- Probability, Random Variables and Stochastic Processes
- Random Processes and Optimum Filtering
- Random Processes and Signals in Engineering
- Random Processes for Engineers
- Software Project Management
- Stochastic Processes in Electronic Systems
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×