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Probability and Random Processes : With Applications to Signal Processing and Communications - Donald Childers

Probability and Random Processes

With Applications to Signal Processing and Communications

By: Donald Childers, Scott Miller

Hardcover | 23 September 2004 | Edition Number 2

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rix rix bability Theory
3. Random Variables, Distributions and Dens ity Functions
4. Operations on a Single Random Variable
5. Pairs of Random Variables
6. Multiple Random V ariables
7. Random Sequences and Series
8. Ran dom Processes
9. Markov Processes
10. Power Sp ectral Density
11. Random Processes in Linear Systems
12. Simulation Techniques
Appendix A
A ppendix B
Appendix C
Appendix D
A ppendix E
Appendix F Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields.
Industry Reviews
"...primarily focused toward undergraduate students in areas of electrical and computer engineering...the book is very well written and wasy to read and follow." -Ali Esmaili, in TECHNOMETRICS, VOL. 47, 2005 "...very well written...I think this is a highly valuable textbook that is very recommendable for students, researchers as well as practitioners interested in signal processing and communications." - Stefan Reh, Carnegie Mellon University "...it is well written, providing the intended readership with tools and methods to study and solve problems concerning random signals and systems." -Evelyn Buckwar, Zentralblatt MATH Berlin

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