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Statistical Multisource-Multitarget Information Fusion - 9781596930926

Un libro in lingua di Mahler Ronald P. S. edito da Artech House, 2007

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Mahler applies his decades of experience in tactical systems along with his expertise in theory to this all-inclusive resource on finite-set statistics (FSST), a new method that unites much of information fusion under a single Bayesian paradigm. He focuses on the needs of practitioners for complete information on unified single-target multisource integration, including single-target filtering, general data modeling, random set uncertainty representation, measurements of UGA and AGA as well as AGU, generalized state estimates and finite-set measurements, then covers unified multitarget multisource integration in terms of conventional filtering, calculus, likelihood functions, Markov densities, and the Bayes filter. He closes with approximate multitarget filtering including particle and moment approximation, and Bernoulli approximation. Each chapter includes exercises, and Mahler supplies support information for such complex topics as Dirac delta functions, mathematical proofs, probability theory, gradient derivatives and Gaussian identity. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)

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