regression Class Reference

Definition at line 31 of file regression.hh.

Public Member Functions
	regression ()
	regression (WSeries< double > &, char *, double fL=0., double fH=0.)
	regression (const regression &)
virtual	~regression ()
size_t	add (WSeries< double > &target, char *name, double fL=0., double fH=0.)
size_t	add (wavearray< double > &witness, char *name, double fL=0., double fH=0.)
size_t	add (int n, int m, char *name)
void	apply (double threshold=0., char c='a')
wavearray< double >	channel (size_t n)
void	clear ()
wavearray< double >	getClean ()
wavearray< double >	getFILTER (char c='a', int nT=-1, int nW=-1)
TMatrixDSym	getMatrix (size_t n=0)
wavearray< double >	getNoise ()
wavearray< double >	getRank (int n)
WSeries< double > *	getTFmap (int n=0)
wavearray< double >	getVCROSS (size_t n=0)
wavearray< double >	getVEIGEN (int n=-1)
WSeries< double >	getWNoise ()
void	mask (int n, double flow=0., double fhigh=0.)
regression &	operator= (const regression &)
wavearray< double >	rank (int nbins=0, double fL=0., double fH=0.)
size_t	setFilter (size_t)
void	setMatrix (double edge=0., double f=1.)
void	solve (double th, int nE=0, char c='s')
void	unmask (int n, double flow=0., double fhigh=0.)

Public Attributes
std::vector< WSeries< double > >	chList
std::vector< wavearray< int > >	chMask
std::vector< char * >	chName
double	Edge
std::vector< Wiener >	FILTER
size_t	kSIZE
std::vector< TMatrixDSym >	matrix
bool	pOUT
wavearray< double >	rnoise
wavearray< double >	target
std::vector< wavearray< double > >	vCROSS
std::vector< wavearray< double > >	vEIGEN
wavearray< double >	vfreq
std::vector< wavearray< double > >	vrank
WSeries< double >	WNoise

Private Member Functions
void	_apply_ (int n, std::vector< wavearray< double > > &w, std::vector< wavearray< double > > &W)

#include <regression.hh>

Constructor & Destructor Documentation

regression::regression

(

)

Definition at line 16 of file regression.cc.

regression::regression	(	WSeries< double > &	in,
		char *	ch,
		double	fL = 0.,
		double	fH = 0.
	)

Definition at line 25 of file regression.cc.

regression::regression

(

const regression &

value

)

Definition at line 40 of file regression.cc.

virtual regression::~regression ( )

inlinevirtual

Definition at line 49 of file regression.hh.

Member Function Documentation

void regression::_apply_ ( int  n, std::vector< wavearray< double > > &  w, std::vector< wavearray< double > > &  W  )

private

Definition at line 863 of file regression.cc.

size_t regression::add	(	WSeries< double > &	target,
		char *	name,
		double	fL = 0.,
		double	fH = 0.
	)

Definition at line 73 of file regression.cc.

size_t regression::add	(	wavearray< double > &	witness,
		char *	name,
		double	fL = 0.,
		double	fH = 0.
	)

Definition at line 105 of file regression.cc.

size_t regression::add	(	int	n,
		int	m,
		char *	name
	)

Definition at line 189 of file regression.cc.

void regression::apply	(	double	threshold = 0.,
		char	c = 'a'
	)

Definition at line 691 of file regression.cc.

wavearray<double> regression::channel ( size_t  n )

inline

Definition at line 126 of file regression.hh.

void regression::clear ( )

inline

Definition at line 142 of file regression.hh.

wavearray<double> regression::getClean ( )

inline

Definition at line 117 of file regression.hh.

wavearray< double > regression::getFILTER	(	char	c = 'a',
		int	nT = -1,
		int	nW = -1
	)

Definition at line 355 of file regression.cc.

TMatrixDSym regression::getMatrix ( size_t  n = 0 )

inline

Definition at line 94 of file regression.hh.

wavearray<double> regression::getNoise ( )

inline

Definition at line 123 of file regression.hh.

wavearray<double> regression::getRank ( int  n )

inline

Definition at line 134 of file regression.hh.

WSeries<double>* regression::getTFmap ( int  n = 0 )

inline

Definition at line 109 of file regression.hh.

wavearray<double> regression::getVCROSS ( size_t  n = 0 )

inline

Definition at line 101 of file regression.hh.

wavearray< double > regression::getVEIGEN

(

int

n = -1

)

Definition at line 339 of file regression.cc.

WSeries<double> regression::getWNoise ( )

inline

Definition at line 114 of file regression.hh.

void regression::mask	(	int	n,
		double	flow = 0.,
		double	fhigh = 0.
	)

Definition at line 303 of file regression.cc.

regression & regression::operator=

(

const regression &

value

)

Definition at line 50 of file regression.cc.

wavearray< double > regression::rank	(	int	nbins = 0,
		double	fL = 0.,
		double	fH = 0.
	)

Definition at line 807 of file regression.cc.

size_t regression::setFilter

(

size_t

K

)

Definition at line 258 of file regression.cc.

void regression::setMatrix	(	double	edge = 0.,
		double	f = 1.
	)

Definition at line 407 of file regression.cc.

void regression::solve	(	double	th,
		int	nE = 0,
		char	c = 's'
	)

Definition at line 592 of file regression.cc.

void regression::unmask	(	int	n,
		double	flow = 0.,
		double	fhigh = 0.
	)

Definition at line 321 of file regression.cc.

Member Data Documentation

std::vector< WSeries<double> > regression::chList

Definition at line 160 of file regression.hh.

std::vector< wavearray<int> > regression::chMask

Definition at line 162 of file regression.hh.

std::vector<char*> regression::chName

Definition at line 161 of file regression.hh.

double regression::Edge

Definition at line 157 of file regression.hh.

std::vector<Wiener> regression::FILTER

Definition at line 163 of file regression.hh.

size_t regression::kSIZE

Definition at line 156 of file regression.hh.

std::vector<TMatrixDSym> regression::matrix

Definition at line 164 of file regression.hh.

bool regression::pOUT

Definition at line 158 of file regression.hh.

wavearray<double> regression::rnoise

Definition at line 168 of file regression.hh.

wavearray<double> regression::target

Definition at line 167 of file regression.hh.

std::vector< wavearray<double> > regression::vCROSS

Definition at line 165 of file regression.hh.

std::vector< wavearray<double> > regression::vEIGEN

Definition at line 166 of file regression.hh.

wavearray<double> regression::vfreq

Definition at line 171 of file regression.hh.

std::vector< wavearray<double> > regression::vrank

Definition at line 170 of file regression.hh.

WSeries<double> regression::WNoise

Definition at line 169 of file regression.hh.

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

• /work/salemi/SOFT/cWB/library/master_0bc430d/wat/regression.hh
• /work/salemi/SOFT/cWB/library/master_0bc430d/wat/regression.cc