7 ½ X 9 ¼ in Preface 1. Introduction 2. Introduction to Pro 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.