
Probability and Random Processes for Electrical and Computer Engineers
- 431 pages
- English
- PDF
- Available on iOS & Android
Probability and Random Processes for Electrical and Computer Engineers
About this book
With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition retains the best aspects of the original but offers an even more potent introduction to probability and random variables and processes. Written in a clear, concise style that illustrates the subject's relevance to a wide range of areas in engineering and physical and computer sciences, this text is organized into two parts. The first focuses on the probability model, random variables and transformations, and inequalities and limit theorems. The second deals with several types of random processes and queuing theory.
New or Updated for the Second Edition:
- A short new chapter on random vectors that adds some advanced new material and supports topics associated with discrete random processes
- Reorganized chapters that further clarify topics such as random processes (including Markov and Poisson) and analysis in the time and frequency domain
- A large collection of new MATLAB®-based problems and computer projects/assignments
Each Chapter Contains at Least Two Computer Assignments
Maintaining the simplified, intuitive style that proved effective the first time, this edition integrates corrections and improvements based on feedback from students and teachers. Focused on strengthening the reader's grasp of underlying mathematical concepts, the book combines an abundance of practical applications, examples, and other tools to simplify unnecessarily difficult solutions to varying engineering problems in communications, signal processing, networks, and associated fields.
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Information
Table of contents
- Front Cover
- Contents
- Preface to the Second Edition
- Preface
- PART I. Probability and Random Variables
- Chapter 1. Introduction
- Chapter 2. The Probability Model
- Chapter 3. Random Variables and Transformations
- Chapter 4. Expectation, Moments, and Generating Functions
- Chapter 5. Two and More Random Variables
- Chpater 6. Inequalities, Limit Theorems, and Parameter Estimation
- Chapter 7. Random Vectors
- PART II. Introduction to Random Processes
- Chapter 8. Introduction to Random Processes
- Chapter 9. Random Signals in the Time Domain
- Chapter 10. Random Signals in the Frequency Domain
- Chapter 11. Markov, Poisson, and Queueing Processes
- Appendices
- Appendix A. Basic Combinatorics
- Appendix B. The Unit Impulse
- Appendis C. The Error Function
- Appendix D. Noise Sources
- Index
- Back Cover