Deterministic Sampling on the Torus for Bivariate Circular Estimation
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DOI: 10.1109/taes.2017.2650079
Abstract: Many modern approaches to nonlinear filtering employ sample-based density approximations. These approximations are generated via random (Monte Carlo methods) or deterministic sampling [say, the unscented Kalman filter (UKF)]. The advantages of deterministic techniques are their… read more here.
Keywords: circular estimation; torus bivariate; bivariate circular; deterministic sampling ... See more keywords