easykf-2.04
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![]() ![]() | Structure holding the parameters of the statistical linearization |
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![]() ![]() | Mother class from which the evolution noises inherit |
![]() ![]() ![]() | Annealing type evolution noise |
![]() ![]() ![]() | Forgetting type evolution noise |
![]() ![]() ![]() | Robbins-Monro evolution noise |
![]() ![]() | Mother class from which the evolution noises inherit |
![]() ![]() ![]() | Annealing type evolution noise |
![]() ![]() ![]() | Forgetting type evolution noise |
![]() ![]() ![]() | Robbins-Monro evolution noise |
![]() ![]() | Structure holding the parameters of the Unscented Kalman Filter |
![]() ![]() | Pointer to the function to approximate in the scalar case |
![]() ![]() | Structure holding the matrices manipulated by the unscented kalman filter in the vectorial case, for Parameter estimation |
![]() ![]() | Generate 1D samples according to a discrete vectorial distribution |
![]() ![]() | Generate 2D samples according to a discrete matricial distribution |
![]() ![]() | Extract the indexes of the nb_samples highest values of a vector Be carefull, this function is extracting the indexes as, the way it is used, it doesn't not to which sample a vector index corresponds |
![]() ![]() | Extract the indexes of the nb_samples highest values of a matrix Be carefull, this function is extracting the indexes as, the way it is used, it doesn't not to which sample a vector index corresponds |
![]() ![]() | Generate 1D samples according to a uniform distribution : |
![]() ![]() | Generate 2D samples according to a uniform distribution and put them alternativaly at the odd/even positions |
![]() ![]() | Generate 3D samples according to a uniform distribution and put them alternativaly at the odd/even positions |
![]() ![]() | Structure holding the parameters of the statistical linearization |
![]() ![]() | Structure holding the matrices manipulated by the statistical linearization in the vectorial case for state estimation |
![]() ![]() | Mother class from which the evolution noises inherit |
![]() ![]() ![]() | Annealing type evolution noise |
![]() ![]() ![]() | Forgetting type evolution noise |
![]() ![]() ![]() | Robbins-Monro evolution noise |
![]() ![]() | Structure holding the parameters of the statistical linearization |
![]() ![]() | Structure holding the matrices manipulated by the statistical linearization in the vectorial case for state estimation |