Nonlinear bayesian filtering with applications to estimation and navigation
In principle, general approaches to optimal nonlinear filtering can be described in a unified way from the recursive Bayesian approach. The central idea to this recur- sive Bayesian estimation is to determine the probability density function of the state vector of the nonlinear systems conditioned o...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2005
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| Online Access: | http://hdl.handle.net/1969.1/2269 |