cWB: WSeries< DataType_t > Class Template Reference

template<class DataType_t>
class WSeries< DataType_t >

Definition at line 45 of file wseries.hh.

Public Member Functions
	WSeries ()

	WSeries (const Wavelet &w)

	WSeries (const wavearray< DataType_t > &value, const Wavelet &w)
	param: value - data to initialize the WSeries object More...

	WSeries (const WSeries< DataType_t > &value)
	param: value - object to copy from More...

virtual	~WSeries ()

void	bandpass (wavearray< DataType_t > &ts, double flow, double fhigh, int n=-1)

void	bandpass (double flow, double fhigh, double a=0.)

virtual void	Browse (TBrowser *b)

virtual WSeries< double >	calibrate (size_t, double, d_complex , d_complex , wavearray< double > &, wavearray< double > &, size_t ch=0)
	param: number of samples in calibration arrays R & C param: frequency resolution param: pointer to response function R in Fourier domain param: pointer to sensing function C in Fourier domain param: time dependent calibration coefficient alpha param: time dependent calibration coefficient gamma param: 0/1 - AS_Q/DARM_ERR calibration, by default is 0 return array with calibration constants for each wavelet layer More...

virtual double	coincidence (WSeries< DataType_t > &, int=0, int=0, double=0.)
	param: WSeries object used for coincidence param: coincidence window in seconds return pixel occupancy More...

virtual double	Coincidence (WSeries< DataType_t > &, double=0., double=0.)
	param: WSeries object used for coincidence param: coincidence window in seconds param: threshold on significance return pixel occupancy More...

virtual void	Dump (const char *, int=0)

virtual wavearray< double >	filter (size_t)
	param: n - number of decomposition steps algorithm: 1) do forward wavelet transform with n decomposition steps 2) whiten wavelet layers and calculate noise rms as 1/Sum(1/var) 3) do inverse wavelet transform with n reconstruction steps More...

void	Forward (int n=-1)
	param: wavelet - n is number of steps (-1 means full decomposition) More...

void	Forward (wavearray< DataType_t > &, int n=-1)

void	Forward (wavearray< DataType_t > &, Wavelet &, int n=-1)

virtual double	fraction (double=0., double=0., int=0)
	param: t - sub interval duration. If can not divide on integer More...

double	frequency (int l)

double	Gamma2Gauss (TH1F *=NULL)

double	getbpp () const

double	gethigh () const

int	getLayer (wavearray< DataType_t > &w, double n)
	param: n - layer number More...

int	getLevel ()

double	getlow () const

int	getMaxLevel ()

DataType_t	getSample (int n, double m)

std::slice	getSlice (double n)

virtual double	gSignificance (double, double=1., double=0.)
	param: T - sliding window duration in seconds param: f - black pixel fraction param: t - sliding step in seconds options: f = 0 - returns black pixel occupancy options: t = 0 - sliding step = wavelet time resolution. More...

void	Inverse (int n=-1)
	param: n - number of steps (-1 means full reconstruction) More...

bool	isWDM ()

int	layer (double f)

virtual void	lprFilter (double, int=0, double=0., double=0.)

double	maxEnergy (wavearray< DataType_t > &ts, Wavelet &w, double=0, int=1, int=0, TH1F *=NULL)

size_t	maxIndex ()

int	maxLayer ()

virtual void	median (double t, bool norm=false)

void	mul (WSeries< DataType_t > &)

virtual WSeries< DataType_t > &	operator*= (WSeries< DataType_t > &)

virtual WSeries< DataType_t > &	operator*= (wavearray< DataType_t > &)

virtual WSeries< DataType_t > &	operator*= (const DataType_t)

virtual WSeries< DataType_t > &	operator+= (WSeries< DataType_t > &)

virtual WSeries< DataType_t > &	operator+= (wavearray< DataType_t > &)

virtual WSeries< DataType_t > &	operator+= (const DataType_t)

virtual WSeries< DataType_t > &	operator-= (WSeries< DataType_t > &)

virtual WSeries< DataType_t > &	operator-= (wavearray< DataType_t > &)

virtual WSeries< DataType_t > &	operator-= (const DataType_t)

WSeries< DataType_t > &	operator= (const wavearray< DataType_t > &)

WSeries< DataType_t > &	operator= (const WSeries< DataType_t > &)

WSeries< DataType_t > &	operator= (const DataType_t)

virtual WSeries< DataType_t > &	operator[] (const std::slice &)

virtual double	percentile (double=0., int=0, WSeries< DataType_t > *=NULL)
	param: f - black pixel fraction param: m - mode options: f = 0 - returns black pixel occupancy m = 1 - set threshold f, returns percentile amplitudes m =-1 - set threshold f, returns wavelet amplitudes m > 1 - random policy,returns percentile amplitudes m <-1 - random policy,returns wavelet amplitudes m = 0 - random pixel selection if m<0 return wavelet amplitudes instead of the percentile amplitude More...

virtual double	pixclean (double=0.)
	param: S - threshold on pixel significance return pixel occupancy. More...

void	print ()
	param: int n if n<0, zero pixels defined in mask (regression) if n>=0, zero all pixels except ones defined in the mask param: bool - if true, set WSeries data to be positive if pMask.size()=0, mask(0,true) is equivalent to abs(data) return core pixel occupancy More...

void	putLayer (wavearray< DataType_t > &, double n)
	param: n - layer number More...

void	putSample (DataType_t a, int n, double m)

virtual void	resample (double, int=6)

virtual void	resize (unsigned int)

double	resolution (int=0)

virtual double	rsignificance (size_t=0, double=1.)
	param: n - sub-interval duration in domain units param: f - black pixel fraction options: f = 0 - returns black pixel occupancy More...

virtual double	rSignificance (double, double=1., double=0.)
	param: T - sliding window duration in seconds param: f - black pixel fraction param: t - sliding step in seconds options: f = 0 - returns black pixel occupancy options: t = 0 - sliding step = wavelet time resolution. More...

void	setbpp (double f)

void	sethigh (double f)

void	setLevel (size_t n)

void	setlow (double f)

void	setWavelet (const Wavelet &w)

virtual double	significance (double, double=1.)
	param: n - sub-interval duration in seconds param: f - black pixel fraction options: f = 0 - returns black pixel occupancy More...

size_t	sizeZero ()

virtual WSeries< float >	variability (double=0., double=-1., double=-1.)
	param: first - time window to calculate normalization constants second - low frequency boundary for correction third - high frequency boundary for correction algorithm: 1) sort wavelet amplitudes with the same time stamp 2) calculate left(p) and right(p) amplitudes put (right(p)-left(p))/2 into output array 3) if first parameter >0 - devide WSeries by average variability More...

void	wavescan (WSeries< DataType_t > *, int, TH1F =NULL)

double	wdmPacket (int pattern, char opt='L', TH1F *=NULL)

virtual WSeries< double >	white (double, int, double=0., double=0.)
	what it does: each wavelet layer is devided into k intervals. More...

virtual bool	white (WSeries< double > ws, int mode=0)

void	wrate (double r)

double	wrate () const

size_t	xsize ()

Public Member Functions inherited from wavearray< DataType_t >
	wavearray (int)

	wavearray ()

	wavearray (const wavearray< DataType_t > &)

template<class T >
	wavearray (const T *, unsigned int, double=0.)

virtual	~wavearray ()

void	add (const wavearray< DataType_t > &, int=0, int=0, int=0)

size_t	append (const wavearray< DataType_t > &)

size_t	append (DataType_t)

void	cpf (const wavearray< DataType_t > &, int=0, int=0, int=0)

virtual void	delay (double T)

virtual void	DumpBinary (const char *, int=0)

virtual void	DumpObject (const char *)

virtual void	DumpShort (const char *, int=0)

virtual void	edge (double s)

virtual double	edge () const

virtual void	exponential (double)

virtual void	FFT (int=1)

virtual void	FFTW (int=1)

DataType_t	get (size_t i)

DataType_t	get (double t, double dt=0.)

virtual wavearray< double >	getLPRFilter (int, int=0, int=0)

virtual int	getSampleRank (size_t n, size_t l, size_t r) const

virtual int	getSampleRankE (size_t n, size_t l, size_t r) const

virtual std::slice	getSlice () const

double	getStatistics (double &mean, double &rms) const

void	hann (void)

virtual size_t	limit () const

virtual size_t	limit (const std::slice &) const

virtual size_t	limit (const wavearray< DataType_t > &) const

virtual void	lprFilter (wavearray< double > &)

virtual void	lprFilter (double, int=0, double=0., double=0., int=0)

virtual DataType_t	max () const

virtual void	max (wavearray< DataType_t > &)

virtual double	mean () const

virtual double	mean (double f)

virtual double	mean (const std::slice &)

virtual void	mean (double t, wavearray< DataType_t > *in, bool fl=false, size_t n=1)

virtual double	median (size_t=0, size_t=0) const

virtual void	median (double t, wavearray< DataType_t > *in, bool fl=false, size_t n=1)

virtual DataType_t	min () const

virtual wavearray< DataType_t > &	operator<< (wavearray< DataType_t > &)

wavearray< DataType_t > &	operator= (const wavearray< DataType_t > &)

wavearray< DataType_t > &	operator= (const DataType_t)

virtual char *	operator>> (char *)

virtual DataType_t &	operator[] (const unsigned int)

void	print ()

long	rand48 (long k=1024)

DataType_t	rank (double=0.5) const

virtual void	rate (double r)

virtual double	rate () const

virtual void	ReadBinary (const char *, int=0)

virtual void	ReadShort (const char *)

void	Resample (const wavearray< DataType_t > &, double, int=6)

void	resample (const wavearray< DataType_t > &, double, int=6)

virtual void	Resample (double)

virtual void	resetFFTW ()

virtual double	rms ()

virtual double	rms (const std::slice &)

virtual void	rms (double t, wavearray< DataType_t > *in, bool fl=false, size_t n=1)

virtual void	setSlice (const std::slice &s)

virtual size_t	size () const

virtual void	spesla (double, double, double=0.)

virtual void	SQRT ()

double	Stack (const wavearray< DataType_t > &, int)

double	Stack (const wavearray< DataType_t > &, int, int)

double	Stack (const wavearray< DataType_t > &, double)

virtual void	start (double s)

virtual double	start () const

virtual void	stop (double s)

virtual double	stop () const

void	sub (const wavearray< DataType_t > &, int=0, int=0, int=0)

long	uniform ()

size_t	wavecount (double x, int n=0)

virtual void	waveSort (DataType_t **pp, size_t l=0, size_t r=0) const

virtual void	waveSort (size_t l=0, size_t r=0)

virtual void	waveSplit (DataType_t **pp, size_t l, size_t r, size_t m) const

virtual DataType_t	waveSplit (size_t l, size_t r, size_t m)

virtual void	waveSplit (size_t m)

virtual wavearray< double >	white (double, int=0, double=0., double=0.) const

Public Attributes
double	bpp

double	f_high

double	f_low

WaveDWT< DataType_t > *	pWavelet

size_t	w_mode

double	wRate

Public Attributes inherited from wavearray< DataType_t >
DataType_t *	data

double	Edge

TFFTRealComplex *	fftw

TFFTComplexReal *	ifftw
	pointer to direct fftw object More...

double	Rate

size_t	Size
	data array More...

std::slice	Slice

double	Start

double	Stop

Additional Inherited Members
Static Public Member Functions inherited from wavearray< DataType_t >
static int	compare (const void x, const void y)
	pointer to inverse fftw object More...

#include <wseries.hh>

Inheritance diagram for WSeries< DataType_t >:

[legend]

Constructor & Destructor Documentation

◆ WSeries() [1/4]

template<class DataType_t >

WSeries< DataType_t >::WSeries ( )

Definition at line 41 of file wseries.cc.

◆ WSeries() [2/4]

template<class DataType_t >

WSeries< DataType_t >::WSeries ( const Wavelet & w )

explicit

Definition at line 53 of file wseries.cc.

◆ WSeries() [3/4]

template<class DataType_t>

WSeries< DataType_t >::WSeries	(	const wavearray< DataType_t > &	value,
		const Wavelet &	w
	)

explicit

param: value - data to initialize the WSeries object

Definition at line 66 of file wseries.cc.

◆ WSeries() [4/4]

template<class DataType_t>

WSeries< DataType_t >::WSeries ( const WSeries< DataType_t > & value )

param: value - object to copy from

Definition at line 79 of file wseries.cc.

◆ ~WSeries()

template<class DataType_t >

WSeries< DataType_t >::~WSeries ( )

virtual

Definition at line 94 of file wseries.cc.

Member Function Documentation

◆ bandpass() [1/2]

template<class DataType_t>

void WSeries< DataType_t >::bandpass	(	wavearray< DataType_t > &	ts,
		double	flow,
		double	fhigh,
		int	n = `-1`
	)

Definition at line 313 of file wseries.cc.

◆ bandpass() [2/2]

template<class DataType_t>

void WSeries< DataType_t >::bandpass	(	double	flow,
		double	fhigh,
		double	a = `0.`
	)

Definition at line 340 of file wseries.cc.

◆ Browse()

template<class DataType_t>

virtual void WSeries< DataType_t >::Browse ( TBrowser * b )

inlinevirtual

Reimplemented from wavearray< DataType_t >.

Reimplemented in gWSeries< DataType_t >.

Definition at line 451 of file wseries.hh.

◆ calibrate()

template<class DataType_t >

WSeries< double > WSeries< DataType_t >::calibrate	(	size_t	n,
		double	df,
		d_complex *	R,
		d_complex *	C,
		wavearray< double > &	a,
		wavearray< double > &	g,
		size_t	ch = `0`
	)

virtual

param: number of samples in calibration arrays R & C param: frequency resolution param: pointer to response function R in Fourier domain param: pointer to sensing function C in Fourier domain param: time dependent calibration coefficient alpha param: time dependent calibration coefficient gamma param: 0/1 - AS_Q/DARM_ERR calibration, by default is 0 return array with calibration constants for each wavelet layer

Definition at line 2207 of file wseries.cc.

◆ coincidence()

template<class DataType_t>

double WSeries< DataType_t >::coincidence	(	WSeries< DataType_t > &	a,
		int	t = `0`,
		int	f = `0`,
		double	threshold = `0.`
	)

virtual

param: WSeries object used for coincidence param: coincidence window in seconds return pixel occupancy

Definition at line 929 of file wseries.cc.

◆ Coincidence()

template<class DataType_t>

double WSeries< DataType_t >::Coincidence	(	WSeries< DataType_t > &	a,
		double	w = `0.`,
		double	So = `0.`
	)

virtual

param: WSeries object used for coincidence param: coincidence window in seconds param: threshold on significance return pixel occupancy

Definition at line 1020 of file wseries.cc.

◆ Dump()

template<class DataType_t >

void WSeries< DataType_t >::Dump	(	const char *	fname,
		int	app = `0`
	)

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 867 of file wseries.cc.

◆ filter()

template<class DataType_t >

wavearray< double > WSeries< DataType_t >::filter ( size_t n )

virtual

param: n - number of decomposition steps algorithm: 1) do forward wavelet transform with n decomposition steps 2) whiten wavelet layers and calculate noise rms as 1/Sum(1/var) 3) do inverse wavelet transform with n reconstruction steps

Definition at line 1260 of file wseries.cc.

◆ Forward() [1/3]

template<class DataType_t >

void WSeries< DataType_t >::Forward ( int n = -1 )

param: wavelet - n is number of steps (-1 means full decomposition)

Definition at line 246 of file wseries.cc.

◆ Forward() [2/3]

template<class DataType_t>

void WSeries< DataType_t >::Forward	(	wavearray< DataType_t > &	x,
		int	n = `-1`
	)

Definition at line 266 of file wseries.cc.

◆ Forward() [3/3]

template<class DataType_t>

void WSeries< DataType_t >::Forward	(	wavearray< DataType_t > &	x,
		Wavelet &	w,
		int	n = `-1`
	)

Definition at line 279 of file wseries.cc.

◆ fraction()

template<class DataType_t >

double WSeries< DataType_t >::fraction	(	double	t = `0.`,
		double	f = `0.`,
		int	mode = `0`
	)

virtual

param: t - sub interval duration. If can not divide on integer

param: f - black pixel fraction param: m - mode options: f = 0, m = 0 - returns black pixel occupancy m = 1 - set threshold f m = 2 - random policy m = 0 - random pixel selection

Definition at line 1374 of file wseries.cc.

◆ frequency()

template<class DataType_t >

double WSeries< DataType_t >::frequency ( int l )

Definition at line 117 of file wseries.cc.

◆ Gamma2Gauss()

template<class DataType_t >

double WSeries< DataType_t >::Gamma2Gauss ( TH1F * hist = NULL )

Definition at line 576 of file wseries.cc.

◆ getbpp()

template<class DataType_t>

double WSeries< DataType_t >::getbpp ( ) const

inline

Definition at line 117 of file wseries.hh.

◆ gethigh()

template<class DataType_t>

double WSeries< DataType_t >::gethigh ( ) const

inline

Definition at line 136 of file wseries.hh.

◆ getLayer()

template<class DataType_t>

int WSeries< DataType_t >::getLayer	(	wavearray< DataType_t > &	w,
		double	n
	)

param: n - layer number

Definition at line 193 of file wseries.cc.

◆ getLevel()

template<class DataType_t>

int WSeries< DataType_t >::getLevel ( )

inline

Definition at line 109 of file wseries.hh.

◆ getlow()

template<class DataType_t>

double WSeries< DataType_t >::getlow ( ) const

inline

Definition at line 129 of file wseries.hh.

◆ getMaxLevel()

template<class DataType_t >

int WSeries< DataType_t >::getMaxLevel ( )

Definition at line 103 of file wseries.cc.

◆ getSample()

template<class DataType_t>

DataType_t WSeries< DataType_t >::getSample	(	int	n,
		double	m
	)

inline

Definition at line 185 of file wseries.hh.

◆ getSlice()

template<class DataType_t>

std::slice WSeries< DataType_t >::getSlice ( double n )

inline

Definition at line 152 of file wseries.hh.

◆ gSignificance()

template<class DataType_t >

double WSeries< DataType_t >::gSignificance	(	double	T,
		double	f = `1.`,
		double	t = `0.`
	)

virtual

param: T - sliding window duration in seconds param: f - black pixel fraction param: t - sliding step in seconds options: f = 0 - returns black pixel occupancy options: t = 0 - sliding step = wavelet time resolution.

Definition at line 1837 of file wseries.cc.

◆ Inverse()

template<class DataType_t >

void WSeries< DataType_t >::Inverse ( int n = -1 )

param: n - number of steps (-1 means full reconstruction)

Definition at line 291 of file wseries.cc.

◆ isWDM()

template<class DataType_t>

bool WSeries< DataType_t >::isWDM ( )

inline

Definition at line 208 of file wseries.hh.

◆ layer()

template<class DataType_t >

int WSeries< DataType_t >::layer ( double f )

Definition at line 167 of file wseries.cc.

◆ lprFilter()

template<class DataType_t >

void WSeries< DataType_t >::lprFilter	(	double	T,
		int	mode = `0`,
		double	stride = `0.`,
		double	offset = `0.`
	)

virtual

Definition at line 1126 of file wseries.cc.

◆ maxEnergy()

template<class DataType_t>

double WSeries< DataType_t >::maxEnergy	(	wavearray< DataType_t > &	ts,
		Wavelet &	w,
		double	dT = `0`,
		int	N = `1`,
		int	pattern = `0`,
		TH1F *	hist = `NULL`
	)

Definition at line 504 of file wseries.cc.

◆ maxIndex()

template<class DataType_t>

size_t WSeries< DataType_t >::maxIndex ( )

inline

Definition at line 149 of file wseries.hh.

◆ maxLayer()

template<class DataType_t>

int WSeries< DataType_t >::maxLayer ( )

inline

Definition at line 139 of file wseries.hh.

◆ median()

template<class DataType_t >

void WSeries< DataType_t >::median	(	double	t,
		bool	norm = `false`
	)

virtual

Definition at line 1109 of file wseries.cc.

◆ mul()

template<class DataType_t>

void WSeries< DataType_t >::mul ( WSeries< DataType_t > & w )

Definition at line 135 of file wseries.cc.

◆ operator*=() [1/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator*= ( WSeries< DataType_t > & a )

virtual

Definition at line 771 of file wseries.cc.

◆ operator*=() [2/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator*= ( wavearray< DataType_t > & a )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 844 of file wseries.cc.

◆ operator*=() [3/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator*= ( const DataType_t a )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 746 of file wseries.cc.

◆ operator+=() [1/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator+= ( WSeries< DataType_t > & a )

virtual

Definition at line 796 of file wseries.cc.

◆ operator+=() [2/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator+= ( wavearray< DataType_t > & a )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 767 of file wseries.cc.

◆ operator+=() [3/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator+= ( const DataType_t a )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 754 of file wseries.cc.

◆ operator-=() [1/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator-= ( WSeries< DataType_t > & a )

virtual

Definition at line 820 of file wseries.cc.

◆ operator-=() [2/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator-= ( wavearray< DataType_t > & a )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 763 of file wseries.cc.

◆ operator-=() [3/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator-= ( const DataType_t a )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 750 of file wseries.cc.

◆ operator=() [1/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator= ( const wavearray< DataType_t > & a )

Definition at line 702 of file wseries.cc.

◆ operator=() [2/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator= ( const WSeries< DataType_t > & a )

Definition at line 716 of file wseries.cc.

◆ operator=() [3/3]

template<class DataType_t>

WSeries< DataType_t > & WSeries< DataType_t >::operator= ( const DataType_t a )

Definition at line 742 of file wseries.cc.

◆ operator[]()

template<class DataType_t >

WSeries< DataType_t > & WSeries< DataType_t >::operator[] ( const std::slice & s )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 731 of file wseries.cc.

◆ percentile()

template<class DataType_t>

double WSeries< DataType_t >::percentile	(	double	f = `0.`,
		int	mode = `0`,
		WSeries< DataType_t > *	pin = `NULL`
	)

virtual

param: f - black pixel fraction param: m - mode options: f = 0 - returns black pixel occupancy m = 1 - set threshold f, returns percentile amplitudes m =-1 - set threshold f, returns wavelet amplitudes m > 1 - random policy,returns percentile amplitudes m <-1 - random policy,returns wavelet amplitudes m = 0 - random pixel selection if m<0 return wavelet amplitudes instead of the percentile amplitude

Definition at line 2082 of file wseries.cc.

◆ pixclean()

template<class DataType_t >

double WSeries< DataType_t >::pixclean ( double S = 0. )

virtual

param: S - threshold on pixel significance return pixel occupancy.

Definition at line 1983 of file wseries.cc.

◆ print()

template<class DataType_t >

void WSeries< DataType_t >::print ( )

param: int n if n<0, zero pixels defined in mask (regression) if n>=0, zero all pixels except ones defined in the mask param: bool - if true, set WSeries data to be positive if pMask.size()=0, mask(0,true) is equivalent to abs(data) return core pixel occupancy

param: true - core pccupancy, false - total occupancy; return wavearray<double> with occupancy.

Definition at line 2352 of file wseries.cc.

◆ putLayer()

template<class DataType_t>

void WSeries< DataType_t >::putLayer	(	wavearray< DataType_t > &	value,
		double	n
	)

param: n - layer number

Definition at line 219 of file wseries.cc.

◆ putSample()

template<class DataType_t>

void WSeries< DataType_t >::putSample	(	DataType_t	a,
		int	n,
		double	m
	)

inline

Definition at line 195 of file wseries.hh.

◆ resample()

template<class DataType_t >

void WSeries< DataType_t >::resample	(	double	f,
		int	nF = `6`
	)

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 915 of file wseries.cc.

◆ resize()

template<class DataType_t >

void WSeries< DataType_t >::resize ( unsigned int n )

virtual

Reimplemented from wavearray< DataType_t >.

Definition at line 901 of file wseries.cc.

◆ resolution()

template<class DataType_t>

double WSeries< DataType_t >::resolution ( int = 0 )

inline

Definition at line 155 of file wseries.hh.

◆ rsignificance()

template<class DataType_t >

double WSeries< DataType_t >::rsignificance	(	size_t	n = `0`,
		double	f = `1.`
	)

virtual

param: n - sub-interval duration in domain units param: f - black pixel fraction options: f = 0 - returns black pixel occupancy

Definition at line 1590 of file wseries.cc.

◆ rSignificance()

template<class DataType_t >

double WSeries< DataType_t >::rSignificance	(	double	T,
		double	f = `1.`,
		double	t = `0.`
	)

virtual

Definition at line 1683 of file wseries.cc.

◆ setbpp()

template<class DataType_t>

void WSeries< DataType_t >::setbpp ( double f )

inline

Definition at line 115 of file wseries.hh.

◆ sethigh()

template<class DataType_t>

void WSeries< DataType_t >::sethigh ( double f )

inline

Definition at line 132 of file wseries.hh.

◆ setLevel()

template<class DataType_t>

void WSeries< DataType_t >::setLevel ( size_t n )

inline

Definition at line 112 of file wseries.hh.

◆ setlow()

template<class DataType_t>

void WSeries< DataType_t >::setlow ( double f )

inline

Definition at line 125 of file wseries.hh.

◆ setWavelet()

template<class DataType_t >

void WSeries< DataType_t >::setWavelet ( const Wavelet & w )

Definition at line 234 of file wseries.cc.

◆ significance()

template<class DataType_t >

double WSeries< DataType_t >::significance	(	double	T,
		double	f = `1.`
	)

virtual

param: n - sub-interval duration in seconds param: f - black pixel fraction options: f = 0 - returns black pixel occupancy

Definition at line 1487 of file wseries.cc.

◆ sizeZero()

template<class DataType_t>

size_t WSeries< DataType_t >::sizeZero ( )

inline

Definition at line 144 of file wseries.hh.

◆ variability()

template<class DataType_t >

WSeries< float > WSeries< DataType_t >::variability	(	double	t = `0.`,
		double	fl = `-1.`,
		double	fh = `-1.`
	)

virtual

param: first - time window to calculate normalization constants second - low frequency boundary for correction third - high frequency boundary for correction algorithm: 1) sort wavelet amplitudes with the same time stamp 2) calculate left(p) and right(p) amplitudes put (right(p)-left(p))/2 into output array 3) if first parameter >0 - devide WSeries by average variability

Definition at line 1296 of file wseries.cc.

◆ wavescan()

template<class DataType_t>

void WSeries< DataType_t >::wavescan	(	WSeries< DataType_t > **	pws,
		int	N,
		TH1F *	hist = `NULL`
	)

Definition at line 622 of file wseries.cc.

◆ wdmPacket()

template<class DataType_t >

double WSeries< DataType_t >::wdmPacket	(	int	pattern,
		char	opt = `'L'`,
		TH1F *	hist = `NULL`
	)

Definition at line 376 of file wseries.cc.

◆ white() [1/2]

template<class DataType_t >

WSeries< double > WSeries< DataType_t >::white	(	double	t,
		int	mode,
		double	offset = `0.`,
		double	stride = `0.`
	)

virtual

what it does: each wavelet layer is devided into k intervals.

The data for each interval is sorted and the following parameters are calculated: median and the amplitude corresponding to 31% percentile (wp). Wavelet amplitudes (w) are normalized as w' = (w-median(t))/wp(t), where median(t) and wp(t) is a linear interpolation between (median,wp) measurements for each interval.

Definition at line 1146 of file wseries.cc.

◆ white() [2/2]

template<class DataType_t >

bool WSeries< DataType_t >::white	(	WSeries< double >	ws,
		int	mode = `0`
	)

virtual

Definition at line 1204 of file wseries.cc.

◆ wrate() [1/2]

template<class DataType_t>

void WSeries< DataType_t >::wrate ( double r )

inline

Definition at line 120 of file wseries.hh.

◆ wrate() [2/2]

template<class DataType_t>

double WSeries< DataType_t >::wrate ( ) const

inline

Definition at line 122 of file wseries.hh.

◆ xsize()

template<class DataType_t>

size_t WSeries< DataType_t >::xsize ( )

inline

Definition at line 146 of file wseries.hh.

Member Data Documentation

◆ bpp

template<class DataType_t>

double WSeries< DataType_t >::bpp

Definition at line 460 of file wseries.hh.

◆ f_high

template<class DataType_t>

double WSeries< DataType_t >::f_high

Definition at line 466 of file wseries.hh.

◆ f_low

template<class DataType_t>

double WSeries< DataType_t >::f_low

Definition at line 464 of file wseries.hh.

◆ pWavelet

template<class DataType_t>

WaveDWT<DataType_t>* WSeries< DataType_t >::pWavelet

Definition at line 456 of file wseries.hh.

◆ w_mode

template<class DataType_t>

size_t WSeries< DataType_t >::w_mode

Definition at line 458 of file wseries.hh.

◆ wRate

template<class DataType_t>

double WSeries< DataType_t >::wRate

Definition at line 462 of file wseries.hh.

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

/home/cWB_docker/git/cWB/library/wat/wseries.hh
/home/cWB_docker/git/cWB/library/wat/wseries.cc

template<class DataType_t> class WSeries< DataType_t >

Public Member Functions

Public Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ WSeries() [1/4]

◆ WSeries() [2/4]

◆ WSeries() [3/4]

◆ WSeries() [4/4]

◆ ~WSeries()

Member Function Documentation

◆ bandpass() [1/2]

◆ bandpass() [2/2]

◆ Browse()

◆ calibrate()

◆ coincidence()

◆ Coincidence()

◆ Dump()

◆ filter()

◆ Forward() [1/3]

◆ Forward() [2/3]

◆ Forward() [3/3]

◆ fraction()

◆ frequency()

◆ Gamma2Gauss()

◆ getbpp()

◆ gethigh()

◆ getLayer()

◆ getLevel()

◆ getlow()

◆ getMaxLevel()

◆ getSample()

◆ getSlice()

◆ gSignificance()

◆ Inverse()

◆ isWDM()

◆ layer()

◆ lprFilter()

◆ maxEnergy()

◆ maxIndex()

◆ maxLayer()

◆ median()

◆ mul()

◆ operator*=() [1/3]

◆ operator*=() [2/3]

◆ operator*=() [3/3]

◆ operator+=() [1/3]

◆ operator+=() [2/3]

◆ operator+=() [3/3]

◆ operator-=() [1/3]

◆ operator-=() [2/3]

◆ operator-=() [3/3]

◆ operator=() [1/3]

◆ operator=() [2/3]

◆ operator=() [3/3]

◆ operator[]()

◆ percentile()

◆ pixclean()

◆ print()

◆ putLayer()

◆ putSample()

◆ resample()

◆ resize()

◆ resolution()

◆ rsignificance()

◆ rSignificance()

◆ setbpp()

◆ sethigh()

◆ setLevel()

◆ setlow()

◆ setWavelet()

◆ significance()

◆ sizeZero()

◆ variability()

◆ wavescan()

◆ wdmPacket()

◆ white() [1/2]

◆ white() [2/2]

◆ wrate() [1/2]

◆ wrate() [2/2]

template<class DataType_t>
class WSeries< DataType_t >