EstimatedGaussianDistribution< N > Class Template Reference

#include <EstimatedGaussianDistribution.h>

Public Member Functions
	EstimatedGaussianDistribution (float pm=1000.0f, float ps=1000.0f, float rm=0.01f, float rs=0.01f)
void	Reset (float pm=1000.0f, float ps=1000.0f, float rm=0.01f, float rs=0.01f)
void	Update (const float *value)
void	SetValues (const float *m, const float *s)

Public Attributes
float	mean [N]
float	sigma [N]
float	pMean
float	pSigma
float	rMean
float	rSigma

Detailed Description

template<int N>
class EstimatedGaussianDistribution< N >

Estimate a N dimension Gaussian distribution with Kalman filter.

Member Function Documentation

template<int N>

void EstimatedGaussianDistribution< N >::Reset ( float  pm = 1000.0f, float  ps = 1000.0f, float  rm = 0.01f, float  rs = 0.01f  )

inline

Reset everything to the start state.

template<int N>

void EstimatedGaussianDistribution< N >::Update

(

const float *

value

)

Use Kalman filter to update the Gaussian distribution.

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The documentation for this class was generated from the following file:

• include/EstimatedGaussianDistribution.h