MipBaselib::GaussianMixture Class Reference
[Probability Density Functions (PDF) and Hypotesis Densities (PHD)]

Provides a class to represent the generic 2D GaussianMixture pdf. More...

#include <GaussianMixture.h>

List of all members.

Public Member Functions
bool	normalized ()
	Gets if the pdf is normalized.
void	normalize ()
	Normalizes the pdf.
	GaussianMixture ()
	Default constructor.
DCol	expectedValue ()
	Returns the expected value.
Decimal	covariance (int row, int col)
	Returns the (row-th, col-th) element of the covariance matrix.
Decimal	evaluate (DCol p)
	Returns the the value of the pdf in the given position.
string	print ()
	Prints all interesting data on a string.

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Detailed Description

Provides a class to represent the generic 2D GaussianMixture pdf.

Author:

Paolo Stegagno

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Constructor & Destructor Documentation

MipBaselib::GaussianMixture::GaussianMixture

(

)

Default constructor.

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Member Function Documentation

bool MipBaselib::GaussianMixture::normalized

(

)

Gets if the pdf is normalized.

void MipBaselib::GaussianMixture::normalize

(

)

Normalizes the pdf.

For the sake of simplicity and to avoid useless computations, the normalization of the pdf is left to the user. Always normalize the pdf before retreiving data from this pdf.

DCol MipBaselib::GaussianMixture::expectedValue

(

)

Returns the expected value.

Decimal MipBaselib::GaussianMixture::covariance	(	int	row,
		int	col
	)

Returns the (row-th, col-th) element of the covariance matrix.

Parameters:

[in]	row	Requested row.
[in]	col	Requested column.

Decimal MipBaselib::GaussianMixture::evaluate

(

DCol

p

)

Returns the the value of the pdf in the given position.

Parameters:

[in]

col

Requested position.

string MipBaselib::GaussianMixture::print

(

)

Prints all interesting data on a string.

Returns:

a printable string.

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

• baselib/PDFs/GaussianMixture.h
• baselib/PDFs/GaussianMixture.cpp