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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.
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.
Title: Random Processes - Filtering, Estimation and...
Publisher: John Wiley and Sons Ltd
Publication Date: 2003
Binding: Hardcover
Condition: Usado - bueno
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Hardcover. Condition: Fine. No Jacket. 1st Edition. This is a fine hardcover first edition, first printing copy, no DJ, black spine. 608 pages with index. Seller Inventory # 107297
Seller: Vulkaneifel Bücher, Birgel, Germany
Gebundene Ausgabe. Condition: Wie neu. Auflage: 1. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 223836 Sprache: Englisch Gewicht in Gramm: 1030. Seller Inventory # 219154
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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 measurementsLucid, 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471259756
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Seller: moluna, Greven, Germany
Condition: New. 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, Gr. Seller Inventory # 446915537
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Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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 measurementsLucid, 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780471259756
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 821474