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- W1581344992 abstract "Recursive algorithms for the Bayes solution of fixed-interval, fixed-point and fixed-lag smoothing under uncertain observations are presented. The Bayes smoothing algorithms are obtained for a Markovian system model with Markov uncertainty, a model more general than the one used in linear smoothing algorithms. The Bayes fixed-interval smoothing algorithm is applied to a Gauss-Markov example. The simulation results for this example indicate that the MSE performance of the Bayes smoother is significantly better than that of the linear smoother." @default.
- W1581344992 created "2016-06-24" @default.
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- W1581344992 date "1983-06-01" @default.
- W1581344992 modified "2023-09-24" @default.
- W1581344992 title "Recursive Algorithms for Bayes Smoothing with Uncertain Observations" @default.
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- W1581344992 doi "https://doi.org/10.23919/acc.1983.4788081" @default.
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