Stochastics · 1985 · 52 citations · 4 references
Natural SciencesElectrical EngineeringMathematicsInformation TheoryOptimizationTime Series AnalysisApproximation AlgorithmsDigital Signal ProcessingError EstimationSignal ProcessingApproximation ErrorError Estimation For Nonlinear ProblemsFilter ApproximationFilteringFiltering TheoryFinite-dimensional ApproximationMeasure-preserving TransformationNonlinear Filtering
For the standard continuous-time nonlinear filtering problem an approximation approach is derived. The approximate filter is given by the solution to an appropriate discrete-time approximating filtering problem that can be explicitly solved by a finite-dimensional procedure. Furthermore an explicit upper bound for the approximation error is derived. The approximating problem is obtained by first approximating the signal and then using measure transformation to express the original observation process in terms of the approximating signal
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