Probability and Random Processes for Electrical and Computer Engineers
Autor Charles Therrien, Murali Tummalaen Limba Engleză Hardback – 20 sep 2011
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
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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Specificații
ISBN-13: 9781439826980
ISBN-10: 1439826986
Pagini: 432
Ilustrații: 143 b/w images and 24 tables
Dimensiuni: 178 x 254 x 25 mm
Greutate: 0.94 kg
Ediția:Revizuită
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1439826986
Pagini: 432
Ilustrații: 143 b/w images and 24 tables
Dimensiuni: 178 x 254 x 25 mm
Greutate: 0.94 kg
Ediția:Revizuită
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Public țintă
Professionals and students working in electrical, computer, and aerospace engineering, as well as communications, signal processing, control systems, robotics and automation, circuits and devices, reliability, and neural networksCuprins
Part I: Probability and Random Variables
Introduction
The Probability Model
Random Variables and Transformations
Expectation, Moments, and Generating Functions
Two and More Random Variables
Inequalities, Limit Theorems, and Parameter Estimation
Random Vectors
Part II: Introduction to Random Processes
Random Processes
Random Signals in the Time Domain
Random Signals in the Frequency Domain
Markov, Poisson, and Queueing Processes
Appendices
Introduction
The Probability Model
Random Variables and Transformations
Expectation, Moments, and Generating Functions
Two and More Random Variables
Inequalities, Limit Theorems, and Parameter Estimation
Random Vectors
Part II: Introduction to Random Processes
Random Processes
Random Signals in the Time Domain
Random Signals in the Frequency Domain
Markov, Poisson, and Queueing Processes
Appendices
Notă biografică
Charles W. Therrien was born in Pittsfield, Massachusetts. He received both undergraduate and graduate (MS, Ph.D) degrees in electrical engineering from MIT. He was a member of the technical staff at Lincoln Laboratory from 1971 to 1984 and then moved to the Naval Postgraduate School in Monterey, California. During his more than 20 years there, he taught courses in systems and signal processing and authored three books, as well as numerous papers, in these areas.
Murali Tummala is a professor in the department of electrical and computer engineering in the Graduate School of Engineering and Applied Sciences at the Naval Postgraduate School in Monterey, California. Since 1986, he has taught and conducted research there in the areas of computer networks and signal processing systems. He received his Ph.D from India Institute of Technology, Bombay in 1984.
Murali Tummala is a professor in the department of electrical and computer engineering in the Graduate School of Engineering and Applied Sciences at the Naval Postgraduate School in Monterey, California. Since 1986, he has taught and conducted research there in the areas of computer networks and signal processing systems. He received his Ph.D from India Institute of Technology, Bombay in 1984.
Descriere
Updated and written in a clear, concise style, this second edition offers an introduction to probability, random variables, and random processes, making the subject relevant and interesting for students in electrical and computer engineering. It features applications and examples that are also useful to anyone involved in other branches of engineering or physical sciences. Chapters focus on the probability model, random variables and transformations, inequalities and limit theorems, random processes, and queuing processes. The authors reinforce presentation of these and other topics using MATLAB® computer projects that are available on the CRC Press website.