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Random Processes: Filtering, Estimation, and Detection (IEEE Press) Hardback - 2003
by Ludeman, Lonnie C
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Details
- Title Random Processes: Filtering, Estimation, and Detection (IEEE Press)
- Author Ludeman, Lonnie C
- Binding Hardback
- Edition 1
- Condition Used - Very good
- Pages 632
- Volumes 1
- Language ENG
- Publisher Wiley-IEEE Press
- Publication date 2003-01-06
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 0471259756-11-1
- ISBN 9780471259756 / 0471259756
- Weight 2.2 lbs (1.00 kg)
- Dimensions 9.46 x 6.4 x 1.35 in (24.03 x 16.26 x 3.43 cm)
- Category Technology & Industrial Arts
- Library of Congress subjects Image processing, Stochastic processes
- Library of Congress Catalogue Number 2003271410
- Dewey Decimal Code 621.382
- Quantity available 1
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From the publisher
From the rear cover
An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications systems and useful signal processing algorithms. Random Processes: Filtering, Estimation, and Detection clearly explains the basics of probability and random processes and details modern detection and estimation theory to accomplish these tasks. 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.
