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ukf_samples.h File Reference
#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>

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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