mds::math::CGaussianFunc< T, N > Class Template Reference

N-dimensional gaussian function having diagonal covariance matrix. More...

#include <mdsGaussianFunc.h>

List of all members.

Public Types
enum	{ NUM_OF_DIMENSIONS = N }
	The number of dimensions. More...
typedef T	tElement
	Type used for feature representation.
typedef CStaticVector< T, N >	tVector
	Vector used to represent mean and diagonal covariance matrix of the gaussian function.
Public Member Functions
	CGaussianFunc ()
	Default constructor.
	CGaussianFunc (double dWeight, const tVector &Mean, const tVector &Cov)
	Constructor.
void	computeInverse ()
	Normalizes the covariance matrix and computes its determinant and inverse.
tVector &	getCov ()
	Returns diagonal covariance matrix of the gaussian function.
const tVector &	getCov () const
T	getCov (mds::tSize i) const
	Returns element of the diagonal covariance matrix.
tVector &	getMean ()
	Returns component mean.
const tVector &	getMean () const
T	getMean (mds::tSize i) const
	Returns component mean.
tSize	getNumOfDimensions () const
	Returns the number od dimensions.
double	getValue (const tVector &x)
	Returns value of the gaussian function.
double	getWeight () const
	Returns weight of the mixture component.
double	getWeightedValue (const tVector &x)
	Returns weighted value of the gaussian function.
void	setCov (const tVector &Cov)
	Sets diagonal covariance matrix of the gaussian function.
void	setCov (mds::tSize i, T Value)
	Directly sets element of the diagonal covariance matrix.
void	setMean (const tVector &Mean)
	Sets mean of the gaussian function.
void	setMean (mds::tSize i, T Value)
	Sets mean of the gaussian function.
void	setWeight (double dWeight)
	Sets weight of the component.
	~CGaussianFunc ()
	Destructor.
Static Public Member Functions
static void	setMinCovariance (T Value)
	Sets minimal allowed covariance value in the matrix.
Protected Attributes
bool	m_bModified
	Helper flag;.
tVector	m_Cov
	Diagonal covariance matrix and its inverse.
tVector	m_CovDet
	Determinant of the covariance matrix.
double	m_dWeight
	Weight of the gaussian function.
tVector	m_InvCov
tVector	m_Mean
	Mean value.
Static Protected Attributes
static T	m_MinCovariance = T(GaussianFunc::DEFAULT_MIN_COVARIANCE)
	Minimal allowed covariance value.

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Detailed Description

template<typename T, int N>
class mds::math::CGaussianFunc< T, N >

N-dimensional gaussian function having diagonal covariance matrix.

• Gaussian Mixture Model (GMM) component.

---

Member Typedef Documentation

template<typename T , int N>

typedef T mds::math::CGaussianFunc< T, N >::tElement

Type used for feature representation.

template<typename T , int N>

typedef CStaticVector<T,N> mds::math::CGaussianFunc< T, N >::tVector

Vector used to represent mean and diagonal covariance matrix of the gaussian function.

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Member Enumeration Documentation

template<typename T , int N>

anonymous enum

The number of dimensions.

Enumerator:

NUM_OF_DIMENSIONS

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Constructor & Destructor Documentation

template<typename T , int N>

mds::math::CGaussianFunc< T, N >::CGaussianFunc

(

)

Default constructor.

template<typename T , int N>

mds::math::CGaussianFunc< T, N >::CGaussianFunc	(	double	dWeight,
		const tVector &	Mean,
		const tVector &	Cov
	)

Constructor.

template<typename T , int N>

mds::math::CGaussianFunc< T, N >::~CGaussianFunc

(

)

Destructor.

---

Member Function Documentation

template<typename T , int N>

void CGaussianFunc::computeInverse

(

)

Normalizes the covariance matrix and computes its determinant and inverse.

template<typename T , int N>

tVector& mds::math::CGaussianFunc< T, N >::getCov

(

)

Returns diagonal covariance matrix of the gaussian function.

template<typename T , int N>

const tVector& mds::math::CGaussianFunc< T, N >::getCov

(

)

const

template<typename T , int N>

T mds::math::CGaussianFunc< T, N >::getCov

(

mds::tSize

i

)

const

Returns element of the diagonal covariance matrix.

template<typename T , int N>

tVector& mds::math::CGaussianFunc< T, N >::getMean

(

)

Returns component mean.

template<typename T , int N>

const tVector& mds::math::CGaussianFunc< T, N >::getMean

(

)

const

template<typename T , int N>

T mds::math::CGaussianFunc< T, N >::getMean

(

mds::tSize

i

)

const

Returns component mean.

template<typename T , int N>

tSize mds::math::CGaussianFunc< T, N >::getNumOfDimensions

(

)

const

Returns the number od dimensions.

template<typename T , int N>

double CGaussianFunc::getValue

(

const tVector &

x

)

Returns value of the gaussian function.

template<typename T , int N>

double mds::math::CGaussianFunc< T, N >::getWeight

(

)

const

Returns weight of the mixture component.

template<typename T , int N>

double mds::math::CGaussianFunc< T, N >::getWeightedValue

(

const tVector &

x

)

Returns weighted value of the gaussian function.

template<typename T , int N>

void mds::math::CGaussianFunc< T, N >::setCov

(

const tVector &

Cov

)

Sets diagonal covariance matrix of the gaussian function.

template<typename T , int N>

void mds::math::CGaussianFunc< T, N >::setCov	(	mds::tSize	i,
		T	Value
	)

Directly sets element of the diagonal covariance matrix.

template<typename T , int N>

void mds::math::CGaussianFunc< T, N >::setMean

(

const tVector &

Mean

)

Sets mean of the gaussian function.

template<typename T , int N>

void mds::math::CGaussianFunc< T, N >::setMean	(	mds::tSize	i,
		T	Value
	)

Sets mean of the gaussian function.

template<typename T , int N>

static void mds::math::CGaussianFunc< T, N >::setMinCovariance

(

T

Value

)

[static]

Sets minimal allowed covariance value in the matrix.

template<typename T , int N>

void mds::math::CGaussianFunc< T, N >::setWeight

(

double

dWeight

)

Sets weight of the component.

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Member Data Documentation

template<typename T , int N>

bool mds::math::CGaussianFunc< T, N >::m_bModified [protected]

Helper flag;.

template<typename T , int N>

tVector mds::math::CGaussianFunc< T, N >::m_Cov [protected]

Diagonal covariance matrix and its inverse.

template<typename T , int N>

tVector mds::math::CGaussianFunc< T, N >::m_CovDet [protected]

Determinant of the covariance matrix.

template<typename T , int N>

double mds::math::CGaussianFunc< T, N >::m_dWeight [protected]

Weight of the gaussian function.

template<typename T , int N>

tVector mds::math::CGaussianFunc< T, N >::m_InvCov [protected]

template<typename T , int N>

tVector mds::math::CGaussianFunc< T, N >::m_Mean [protected]

Mean value.

template<typename T , int N>

T CGaussianFunc::m_MinCovariance = T(GaussianFunc::DEFAULT_MIN_COVARIANCE) [static, protected]

Minimal allowed covariance value.

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

• mdsGaussianFunc.h
• mdsGaussianFunc.hxx