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Advances in Statistical Multisource-Multitarget Information Fusion

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Title: Advances in Statistical Multisource-Multitarget Information Fusion
Description: This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systematic, and Bayesian approach to information fusion. The cardinalized probability hypothesis density (CPHD) filter, which was first systematically described in the earlier book, has since become a standard multitarget detection and tracking technique, especially in research and development. Since 2007, FISST has inspired a considerable amount of research, conducted in more than a dozen nations, and reported in nearly a thousand publications. This sequel addresses the most intriguing practical and theoretical advances in FISST, for the first time aggregating and systematizing them into a coherent, integrated, and deep-dive picture. Special emphasis is given to computationally fast exact closed-form implementation approaches. The book also includes the first complete and systematic description of RFS-based sensor/platform management and situation assessment.
Authors: Mahler, Ronald P.S
Resource Type: eBook.
Subjects: Bayesian statistical decision theory, Expert systems (Computer science), Multisensor data fusion--Mathematics
Categories: COMPUTERS / General
Database: eBook Collection (EBSCOhost)
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  Data: Advances in Statistical Multisource-Multitarget Information Fusion
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  Data: This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systematic, and Bayesian approach to information fusion. The cardinalized probability hypothesis density (CPHD) filter, which was first systematically described in the earlier book, has since become a standard multitarget detection and tracking technique, especially in research and development. Since 2007, FISST has inspired a considerable amount of research, conducted in more than a dozen nations, and reported in nearly a thousand publications. This sequel addresses the most intriguing practical and theoretical advances in FISST, for the first time aggregating and systematizing them into a coherent, integrated, and deep-dive picture. Special emphasis is given to computationally fast exact closed-form implementation approaches. The book also includes the first complete and systematic description of RFS-based sensor/platform management and situation assessment.
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        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Bayesian statistical decision theory
        Type: general
      – SubjectFull: Expert systems (Computer science)
        Type: general
      – SubjectFull: Multisensor data fusion--Mathematics
        Type: general
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      – TitleFull: Advances in Statistical Multisource-Multitarget Information Fusion
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            NameFull: Mahler, Ronald P.S
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            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 17
              M: 02
              Type: profile
              Y: 2016
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              Value: 9781608077984
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              Value: 9781608077991
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