Advances in statistical multisource-multitarget information fusion /

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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. Th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mahler, Ronald P. S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Artech House, ©2014.
Colección:Artech House electronic warfare library.
Temas:
Expert systems (Computer science)
Multisensor data fusion > Mathematics.
Bayesian statistical decision theory.
Expert Systems
Systèmes experts (Informatique)
Fusion multicapteurs > Mathématiques.
Théorie de la décision bayésienne.
COMPUTERS > General.
Bayesian statistical decision theory
Multisensor data fusion > Mathematics
Bayes-Inferenz.
Signalverarbeitung
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781608077991
1608077993

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