Document Type
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BL
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Record Number
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961281
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Doc. No
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b715651
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Main Entry
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Mahler, Ronald P. S.
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Title & Author
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Statistical multisource-multitarget information fusion /\ Ronald P.S. Mahler.
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Publication Statement
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Boston :: Artech House,, ©2007.
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Series Statement
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Artech House information warfare library
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Page. NO
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1 online resource (xxvi, 856 pages) :: illustrations
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ISBN
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1596930926
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: 1596930934
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: 9781596930926
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: 9781596930933
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Bibliographies/Indexes
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Includes bibliographical references (pages 821-836) and index.
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Contents
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Chapter 11 Multitarget Calculus 343Chapter 12 Multitarget Likelihood Functions 399; Chapter 13 Multitarget Markov Densities 461; Chapter 14 The Multitarget Bayes Filter 483; Part III Approximate Multitarget Filtering 539; Chapter 15 Multitarget Particle Approximation 541; Chapter 16 Multitarget-Moment Approximation 565; Chapter 17 Multi-Bernoulli Approximation 655; Appendix A Glossary of Notation 683; Appendix BDirac.
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Abstract
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This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST)? a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithms, so you can use FISST to address real-world challenges in the field. You learn how to model, fuse, and process highly disparate information sources, and detect and track non-cooperative individual/platform groups and conventional non-cooperative targets.
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Subject
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Automatic tracking.
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Subject
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Bayesian statistical decision theory.
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Subject
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Expert systems (Computer science)
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Subject
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Multisensor data fusion-- Mathematics.
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Subject
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Signal processing.
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Subject
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Target acquisition.
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Subject
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Tracking radar.
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Subject
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Automatic tracking.
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Subject
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Bayesian statistical decision theory.
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Subject
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COMPUTERS-- Expert Systems.
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Subject
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Expert systems (Computer science)
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Subject
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Multisensor data fusion-- Mathematics.
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Subject
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Signal processing.
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Subject
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Target acquisition.
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Subject
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Tracking radar.
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Dewey Classification
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006.3/3
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LC Classification
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TK
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