Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12]

ekf::ekf_param	Structure holding the parameters of the statistical linearization
ekf::ekf_state
ekf::EvolutionNoise	Mother class from which the evolution noises inherit
ekf::EvolutionAnneal	Annealing type evolution noise
ekf::EvolutionRLS	Forgetting type evolution noise
ekf::EvolutionRobbinsMonro	Robbins-Monro evolution noise
ukf::parameter::EvolutionNoise	Mother class from which the evolution noises inherit
ukf::parameter::EvolutionAnneal	Annealing type evolution noise
ukf::parameter::EvolutionRLS	Forgetting type evolution noise
ukf::parameter::EvolutionRobbinsMonro	Robbins-Monro evolution noise
ukf::parameter::ukf_param	Structure holding the parameters of the Unscented Kalman Filter
ukf::parameter::ukf_scalar_state	Pointer to the function to approximate in the scalar case
ukf::parameter::ukf_state	Structure holding the matrices manipulated by the unscented kalman filter in the vectorial case, for Parameter estimation
ukf::samples::DistributionSample_1D	Generate 1D samples according to a discrete vectorial distribution
ukf::samples::DistributionSample_2D	Generate 2D samples according to a discrete matricial distribution
ukf::samples::MaximumIndexes_1D	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
ukf::samples::MaximumIndexes_2D	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
ukf::samples::RandomSample_1D	Generate 1D samples according to a uniform distribution :
ukf::samples::RandomSample_2D	Generate 2D samples according to a uniform distribution and put them alternativaly at the odd/even positions
ukf::samples::RandomSample_3D	Generate 3D samples according to a uniform distribution and put them alternativaly at the odd/even positions
ukf::srstate::ukf_param	Structure holding the parameters of the statistical linearization
ukf::srstate::ukf_state	Structure holding the matrices manipulated by the statistical linearization in the vectorial case for state estimation
ukf::state::EvolutionNoise	Mother class from which the evolution noises inherit
ukf::state::EvolutionAnneal	Annealing type evolution noise
ukf::state::EvolutionRLS	Forgetting type evolution noise
ukf::state::EvolutionRobbinsMonro	Robbins-Monro evolution noise
ukf::state::ukf_param	Structure holding the parameters of the statistical linearization
ukf::state::ukf_state	Structure holding the matrices manipulated by the statistical linearization in the vectorial case for state estimation