Charles Therrien, Murali Tummala

Probability and Random Processes for Electrical and Computer Engineers (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 431
• Erscheinungstermin: 3. September 2018
• Englisch
• ISBN-13: 9781439897492
• Artikelnr.: 54670069

Autorenporträt

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.

Inhaltsangabe

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