Synopsis
Using the Bayesian inference framework, this book enables the reader to design and develop mathematically sound algorithms for dealing with tracking problems involving multiple targets, multiple sensors, and multiple platforms. It shows how non-linear Multiple Hypothesis Tracking and the Theory of United Tracking are successful methods when multiple target tracking must be performed without contacts or association.
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About the Author
Lawrence D. Stone is Chief Operating Officer at Metron, Inc. He received his Ph.D. and MS in mathematics from Purdue University. Carl A. Barlow is an independent scientific consultant. He holds S.B. and S.M. degrees in theoretical physics from MIT. Thomas L. Corwin is Chief Executive Officer of Metron, Inc. He received his Ph.D and MS in statistics from Princeton University.
"About this title" may belong to another edition of this title.
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Bayesian Multiple Target Tracking (Artech House Radar Library (Hardcover))
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ISBN 10: 1580530249
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Bayesian Multiple Target Tracking (Artech House Radar Library (Hardcover))
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Condition: New. Using the Bayesian inference framework, this book enables the reader to design and develop mathematically sound algorithms for dealing with tracking problems involving multiple targets, multiple sensors, and multiple platforms.Über den Autor. Seller Inventory # 596340250
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Bayesian Multiple Target Tracking
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Buch. Condition: Neu. Neuware - Get the solutions to your most challenging tracking problems with this up-to-date resource. Using the Bayesian inference framework, the book helps you design and develop mathematically sound algorithms for dealing with tracking problems involving multiple targets, multiple sensors, and multiple platforms. Seller Inventory # 9781580530248
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