CorrelatedNoisifier< M > Class Template Reference

adds noise to the given frame. More...

#include <CorrelatedNoisifier.h>

List of all members.

Public Types
typedef std::vector< double >	VecDou
Public Member Functions
const M &	cholMat () const
	CorrelatedNoisifier (CLHEP::HepRandomEngine *engine, const M &cholDecMat)
	CorrelatedNoisifier (const M &symCorMat, CLHEP::HepRandomEngine *engine=0)
template<class T >
void	noisify (T &frame, const VecDou *rangau=0) 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
CLHEP::RandGaussQ *	m_rangau
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 28 of file CorrelatedNoisifier.h.

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Member Typedef Documentation

template<class M>

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

Definition at line 32 of file CorrelatedNoisifier.h.

---

Constructor & Destructor Documentation

template<class M>

CorrelatedNoisifier< M >::CorrelatedNoisifier	(	const M &	symCorMat,
		CLHEP::HepRandomEngine *	engine = 0
	)

template<class M>

CorrelatedNoisifier< M >::CorrelatedNoisifier	(	CLHEP::HepRandomEngine *	engine,
		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 >

void CorrelatedNoisifier< M >::noisify	(	T &	frame,
		const VecDou *	rangau = 0
	)		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 [static, private]

Definition at line 56 of file CorrelatedNoisifier.h.

template<class M>

M CorrelatedNoisifier< M >::m_H [private]

Definition at line 76 of file CorrelatedNoisifier.h.

template<class M>

bool CorrelatedNoisifier< M >::m_isDiagonal [private]

Definition at line 73 of file CorrelatedNoisifier.h.

template<class M>

bool CorrelatedNoisifier< M >::m_isIdentity [private]

Definition at line 74 of file CorrelatedNoisifier.h.

template<class M>

CLHEP::RandGaussQ* CorrelatedNoisifier< M >::m_rangau [private]

Definition at line 71 of file CorrelatedNoisifier.h.

template<class M>

VecDou CorrelatedNoisifier< M >::m_vecgau [mutable, private]

Definition at line 69 of file CorrelatedNoisifier.h.