CorrelatedNoisifier< M > Class Template Reference

adds noise to the given frame. More...

#include <EcalCoder.h>

Public Types
typedef std::vector< double >	VecDou

Public Member Functions
const M &	cholMat () const
	CorrelatedNoisifier (const M &symCorMat)
	CorrelatedNoisifier (int *dummy, const M &cholDecMat)
template<class T >
void	noisify (T &frame, CLHEP::HepRandomEngine *, const VecDou *rangau=nullptr) const
void	resetCholDecompMatrix (const M &cholMat)
void	resetCorrelationMatrix (const M &symCorMat)
const VecDou &	vecgau () const
virtual	~CorrelatedNoisifier ()

Private Member Functions
bool	checkDecomposition (const M &symCorMat, M &HHtDiff) const
void	checkOffDiagonal (const M &symCorMat)
bool	computeDecomposition (const M &symCorMat)
void	init (const M &symCorMat)
void	initChol ()

Private Attributes
M	m_H
bool	m_isDiagonal
bool	m_isIdentity
VecDou	m_vecgau

Static Private Attributes
static const double	k_precision

Detailed Description

template<class M>
class CorrelatedNoisifier< M >

adds noise to the given frame.

Takes input correlation matrix C and from it creates an upper-triangular matrix H such that H*Htranspose = C.

Algorithm taken from http://cg.scs.carleton.ca/~luc/chapter_eleven.pdf, p 564-567 Uses a Cholesky decomposition

Any input array f is "noisified" with f += H*r where r is an array of random numbers

The above matrix multiplication is expedited in the trivial cases of a purely diagonal or identity correlation matrix.

Definition at line 12 of file EcalCoder.h.

Member Typedef Documentation

template<class M >

typedef std::vector<double> CorrelatedNoisifier< M >::VecDou

Definition at line 33 of file CorrelatedNoisifier.h.

Constructor & Destructor Documentation

template<class M >

CorrelatedNoisifier< M >::CorrelatedNoisifier

(

const M &

symCorMat

)

template<class M >

CorrelatedNoisifier< M >::CorrelatedNoisifier	(	int *	dummy,
		const M &	cholDecMat
	)

template<class M >

virtual CorrelatedNoisifier< M >::~CorrelatedNoisifier ( )

virtual

Member Function Documentation

template<class M >

bool CorrelatedNoisifier< M >::checkDecomposition ( const M &  symCorMat, M &  HHtDiff  ) const

private

template<class M >

void CorrelatedNoisifier< M >::checkOffDiagonal ( const M &  symCorMat )

private

template<class M >

const M& CorrelatedNoisifier< M >::cholMat

(

)

const

template<class M >

bool CorrelatedNoisifier< M >::computeDecomposition ( const M &  symCorMat )

private

template<class M >

void CorrelatedNoisifier< M >::init ( const M &  symCorMat )

private

template<class M >

void CorrelatedNoisifier< M >::initChol ( )

private

template<class M >

template<class T >

template void CorrelatedNoisifier< M >::noisify	(	T &	frame,
		CLHEP::HepRandomEngine *	,
		const VecDou *	rangau = nullptr
	)		const

Referenced by EcalCoder::encode(), and CSCStripConditions::noisify().

template<class M >

void CorrelatedNoisifier< M >::resetCholDecompMatrix

(

const M &

cholMat

)

template<class M >

void CorrelatedNoisifier< M >::resetCorrelationMatrix

(

const M &

symCorMat

)

template<class M >

const VecDou& CorrelatedNoisifier< M >::vecgau

(

)

const

Member Data Documentation

template<class M >

const double CorrelatedNoisifier< M >::k_precision

staticprivate

Definition at line 55 of file CorrelatedNoisifier.h.

template<class M >

M CorrelatedNoisifier< M >::m_H

private

Definition at line 72 of file CorrelatedNoisifier.h.

template<class M >

bool CorrelatedNoisifier< M >::m_isDiagonal

private

Definition at line 69 of file CorrelatedNoisifier.h.

template<class M >

bool CorrelatedNoisifier< M >::m_isIdentity

private

Definition at line 70 of file CorrelatedNoisifier.h.

template<class M >

VecDou CorrelatedNoisifier< M >::m_vecgau

mutableprivate

Definition at line 67 of file CorrelatedNoisifier.h.