Probability and Random Processes

With Applications to Signal Processing and Communications

By

  • Donald Childers, University of Florida, Gainesville

By

  • Scott Miller, Texas A & M University
  • Scott Miller, Texas A & M University
  • Donald Childers, University of Florida, Gainesville

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.
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Audience

Graduate-level courses in the topic with secondary interest to professionals.

 

Book information

  • Published: September 2004
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-172651-5

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



Table of Contents

Preface1. Introduction2. Introduction to Probability Theory3. Random Variables, Distributions and Density Functions4. Operations on a Single Random Variable5. Pairs of Random Variables6. Multiple Random Variables7. Random Sequences and Series8. Random Processes9. Markov Processes10. Power Spectral Density11. Random Processes in Linear Systems12. Simulation TechniquesAppendix AAppendix BAppendix CAppendix DAppendix EAppendix F