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A Continuous Square Root in Formation Filter-Swoother with Discrete Data Update

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dc.contributor.author Miller, J. K. en_US
dc.date.accessioned 2004-10-05T21:27:07Z
dc.date.available 2004-10-05T21:27:07Z
dc.date.issued 1994
dc.identifier.clearanceno 94-0475
dc.identifier.uri http://hdl.handle.net/2014/33747
dc.description.abstract A differential equation for the square root information matrix is derived and adapted to the problems of filtering and smoothing. The resulting continuous square root information filter (SRIF) performs the mapping of state and process noise by numerical integration of the SRIF matrix and admits data via a discrete least square update. en_US
dc.format.extent 667820 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other SRIF mapping en_US
dc.title A Continuous Square Root in Formation Filter-Swoother with Discrete Data Update en_US


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