run_kalman_fem_theta.cpp File Reference

File containing funtions to implement kalman filter on femur. More...

#include "postprocess.h"
#include <algorithm>

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Functions
int	set_mes_err_cov (gsl_matrix *R, femur fem, int frame_count)
double	get_cov_err (int i, double err[])
int	run_kalman_femur_theta (femur &fem, vector< vector< double > > &state)
	Run the EKF on the femur.

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Detailed Description

File containing funtions to implement kalman filter on femur.

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Function Documentation

double get_cov_err	(	int	i,
		double	err[]
	)

Referenced by set_mes_err_cov().

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int run_kalman_femur_theta	(	femur &	fem,
		vector< vector< double > > &	state
	)

Run the EKF on the femur.

Parameters:

[in]	fem	The femur structure with all data
[out]	state	The state vector, for each iteration. Output of the kalman filter

References ekf_kalman_gain(), ekf_predict_step(), ekf_update_cov(), ekf_update_estimate(), generate_jacobian_femur_theta(), generate_mes_vec_femur(), h_femur_theta_encaps(), tibia::opti_count, and set_mes_err_cov().

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int set_mes_err_cov	(	gsl_matrix *	R,
		femur	fem,
		int	frame_count
	)

References get_cov_err(), tibia::opti_count, tibia::optical, and sensor::point_flag.

Referenced by run_kalman_femur_theta().

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