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Status:
Available4.7
29 reviews
ISBN 10: 1439826986
ISBN 13: 9781439826980
Author: Charles Therrien, Murali Tummala
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.
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
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Tags: Charles Therrien, Murali Tummala, Probability, Random
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