Particle filters for random set models /
"Particle Filters for Random Set Models" presents coverage of state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carl...
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Format: | eBog |
Sprog: | English |
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New York, NY
Springer New York
2013.
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Online adgang: | Click here to view the full text content |
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