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Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2531418
Abstract: The traditional Bayesian approximation framework for filtering in discrete time systems assumes that the measurement is available at every time instant. But in practice, the measurements could be randomly delayed. In the literature, the problem…
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Keywords:
randomly delayed;
filter randomly;
bayesian filter;
time ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3132277
Abstract: We present a general nonlinear Bayesian filter for high-dimensional state estimation using the theory of reproducing kernel Hilbert space (RKHS). By applying the kernel method and the representer theorem to perform linear quadratic estimation in…
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Keywords:
functional bayesian;
filter;
estimation;
state ... See more keywords