Charles Therrien, Murali Tummala

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

• Format: PDF

Produktbeschreibung

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.

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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