#include <gsl/gsl_vector.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_errno.h>
#include <gsl/gsl_sort_vector_double.h>
#include <gsl/gsl_permute_vector.h>
#include <gsl/gsl_randist.h>
#include <time.h>
#include <iostream>
Go to the source code of this file.
Classes | |
class | ukf::samples::RandomSample_1D |
Generate 1D samples according to a uniform distribution : More... | |
class | ukf::samples::RandomSample_2D |
Generate 2D samples according to a uniform distribution and put them alternativaly at the odd/even positions. More... | |
class | ukf::samples::RandomSample_3D |
Generate 3D samples according to a uniform distribution and put them alternativaly at the odd/even positions. More... | |
class | 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. More... | |
class | 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. More... | |
class | ukf::samples::DistributionSample_1D |
Generate 1D samples according to a discrete vectorial distribution. More... | |
class | ukf::samples::DistributionSample_2D |
Generate 2D samples according to a discrete matricial distribution. More... | |
Namespaces | |
ukf | |
In this section we implement the Unscented Kalman Filter for parameter estimation and Joint UKF involving the Scaled Unscented Transform detailed in Van der Merwe PhD Thesis. | |
ukf::samples | |