|Number of Pages
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.
Numerous examples--a wide selection of fully worked-out real-world examples.
Problems--over 700 in all.
Table Of Contents
Probability Models in Electrical and Computer Engineering.
Basic Concepts of Probability Theory.
Multiple Random Variables.
Sums of Random Variables and Long-Term Averages.
Analysis and Processing of Random Signals.
Introduction to Queueing Theory.
Appendix A. Mathematical Tables.
Appendix B. Tables of Fourier Transformation.
Appendix C. Computer Programs for Generating Random Variables