Random Processes: Filtering, Estimation, and Detection (IEEE Press)
Language: English
Published by Wiley-IEEE Press (edition 1), 2003
- Hardcover
- Used
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Seller Inventory # 0471259756-11-1
- Title
- Random Processes: Filtering, Estimation, and Detection (IEEE Press)
- Author
- Ludeman, Lonnie C.
- Publisher
- Wiley-IEEE Press (edition 1)
- Publication year
- 2003
- Condition
- Very Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471259756
- ISBN 13
- 9780471259756
- Edition
- 1.
In this book, Lonnie Ludeman, an award-winning authority in digital signal processing, joins the fundamentals of random processes with the standard techniques of linear and nonlinear systems analysis and hypothesis testing to give signal estimation techniques, specify optimum estimation procedures, provide optimum decision rules for classification purposes, and describe performance evaluation definitions and procedures for the resulting methods. The text covers four main, interrelated topics:
* Probability and characterizations of random variables and random processes
* Linear and nonlinear systems with random excitations
* Optimum estimation theory including both the Wiener and Kalman Filters
* Detection theory for both discrete and continuous time measurements
Lucid, thorough, and well-stocked with numerous examples and practice problems that emphasize the concepts discussed, Random Processes: Filtering, Estimation, and Detection is an understandable and useful text ideal as both a self-study guide for professionals in the field and as a core text for graduate students.
"Synopsis" may belong to another edition of this title.
About the Author
LONNIE C. LUDEMAN, PhD, received his doctorate from Arizona State University and is Professor Emeritus of electrical and computer engineering at New Mexico State University. In 1993, he was a Fulbright Scholar at the Aristotle University in Thessaloniki, Greece. He is the author of Fundamentals of Digital Signal Processing, which won Choice magazine's award for Outstanding Engineering Book of the Year.
"About the title" may belong to another edition of this title.
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