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A Nonhomogeneous Markov Process for the Estimation of Gaussian Random Fields with Nonlinear Observations
We consider an estimation problem in which the signal is modelled by a continuous Gaussian random field and is observed through smooth and bounded nonlinear sensors. A nonhomogeneous Markov process is defined in order to sample the conditional distribution of the signal given the observations. At any finite time the …