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Nonlinear Gaussian filters have traditionally used cubature rules and/or Gaussian quadrature to compute multidimensional expectation integrals recursively, which provide mean and covariance estimates of the state and state error, respectively. Minimal and near minimal-point filters attain moderate accuracy while avoiding the so-called “curse of ...
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