Probability & Random Processes For Electrical Engineering

This textbook offers an interesting, straightforward introduction to probability and random processes. While helping students to develop their problem-solving skills, the book enables them to understand how to make the transition from real problems to probability models for those problems. To keep students motivated, the author uses a number of practical applications from various areas of electrical and computer engineering that demonstrate the relevance of probability theory to engineering practice. Discrete-time random processes are used to bridge the transition between random variables and continuous-time random processes. Additional material has been added to the second edition to provide a more substantial introduction to random processes.
Features
Chapter overviews—brief introduction outlining chapter coverage and learning objectives.
Chapter summaries—concise, easy-reference sections providing quick overviews of each chapter's major topics.
Checklist of important terms.
Annotated references—suggestions of timely resources for additional coverage of critical material.
Numerous examples—a wide selection of fully worked-out real-world examples.
Problems—over 700 in all.
Contents
Probability Models in Electrical and Computer Engineering.
Basic Concepts of Probability Theory.
Random Variables.
Multiple Random Variables.
Sums of Random Variables and Long-Term Averages.
Random Processes.
Analysis and Processing of Random Signals.
Markov Chains.
Introduction to Queueing Theory.
Appendix A. Mathematical Tables.
Appendix B. Tables of Fourier Transformation.
Appendix C. Computer Programs for Generating Random Variables.