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class TSpectrum2Transform: public TObject

THIS CLASS CONTAINS 2-DIMENSIONAL ORTHOGONAL TRANSFORM  FUNCTIONS.

These functions were written by:
Miroslav Morhac
Institute of Physics
Slovak Academy of Sciences
Dubravska cesta 9, 842 28 BRATISLAVA
SLOVAKIA

email:fyzimiro@savba.sk,    fax:+421 7 54772479

The original code in C has been repackaged as a C++ class by R.Brun

The algorithms in this class have been published in the following
references:

[1] C.V. Hampton, B. Lian, Wm. C. McHarris: Fast-Fourier-transform
      spectral enhancement techniques for gamma-ray spectroscopy.NIM A353
(1994) 280-284.
[2] Morhac M., Matousek V., New adaptive Cosine-Walsh  transform and
its application to nuclear data compression, IEEE Transactions on
Signal Processing 48 (2000) 2693.
[3] Morhac M., Matousek V., Data compression using new fast adaptive
Cosine-Haar transforms, Digital Signal Processing 8 (1998) 63.
[4] Morhac M., Matousek V.: Multidimensional nuclear data compression
using fast adaptive Walsh-Haar transform. Acta Physica Slovaca 51
(2001) 307.

Function Members (Methods)

public:
TSpectrum2Transform()
TSpectrum2Transform(const TSpectrum2Transform&)
TSpectrum2Transform(Int_t sizeX, Int_t sizeY)
virtual~TSpectrum2Transform()
voidTObject::AbstractMethod(const char* method) const
virtual voidTObject::AppendPad(Option_t* option = "")
virtual voidTObject::Browse(TBrowser* b)
static TClass*Class()
virtual const char*TObject::ClassName() const
virtual voidTObject::Clear(Option_t* = "")
virtual TObject*TObject::Clone(const char* newname = "") const
virtual Int_tTObject::Compare(const TObject* obj) const
virtual voidTObject::Copy(TObject& object) const
virtual voidTObject::Delete(Option_t* option = "")MENU
virtual Int_tTObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual voidTObject::Draw(Option_t* option = "")
virtual voidTObject::DrawClass() constMENU
virtual TObject*TObject::DrawClone(Option_t* option = "") constMENU
virtual voidTObject::Dump() constMENU
voidEnhance(const Float_t** fSource, Float_t** fDest)
virtual voidTObject::Error(const char* method, const char* msgfmt) const
virtual voidTObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual voidTObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual voidTObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
virtual voidTObject::Fatal(const char* method, const char* msgfmt) const
voidFilterZonal(const Float_t** fSource, Float_t** fDest)
virtual TObject*TObject::FindObject(const char* name) const
virtual TObject*TObject::FindObject(const TObject* obj) const
virtual Option_t*TObject::GetDrawOption() const
static Long_tTObject::GetDtorOnly()
virtual const char*TObject::GetIconName() const
virtual const char*TObject::GetName() const
virtual char*TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_tTObject::GetObjectStat()
virtual Option_t*TObject::GetOption() const
virtual const char*TObject::GetTitle() const
virtual UInt_tTObject::GetUniqueID() const
virtual Bool_tTObject::HandleTimer(TTimer* timer)
virtual ULong_tTObject::Hash() const
virtual voidTObject::Info(const char* method, const char* msgfmt) const
virtual Bool_tTObject::InheritsFrom(const char* classname) const
virtual Bool_tTObject::InheritsFrom(const TClass* cl) const
virtual voidTObject::Inspect() constMENU
voidTObject::InvertBit(UInt_t f)
virtual TClass*IsA() const
virtual Bool_tTObject::IsEqual(const TObject* obj) const
virtual Bool_tTObject::IsFolder() const
Bool_tTObject::IsOnHeap() const
virtual Bool_tTObject::IsSortable() const
Bool_tTObject::IsZombie() const
virtual voidTObject::ls(Option_t* option = "") const
voidTObject::MayNotUse(const char* method) const
virtual Bool_tTObject::Notify()
voidTObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
static voidTObject::operator delete(void* ptr)
static voidTObject::operator delete(void* ptr, void* vp)
static voidTObject::operator delete[](void* ptr)
static voidTObject::operator delete[](void* ptr, void* vp)
void*TObject::operator new(size_t sz)
void*TObject::operator new(size_t sz, void* vp)
void*TObject::operator new[](size_t sz)
void*TObject::operator new[](size_t sz, void* vp)
TSpectrum2Transform&operator=(const TSpectrum2Transform&)
virtual voidTObject::Paint(Option_t* option = "")
virtual voidTObject::Pop()
virtual voidTObject::Print(Option_t* option = "") const
virtual Int_tTObject::Read(const char* name)
virtual voidTObject::RecursiveRemove(TObject* obj)
voidTObject::ResetBit(UInt_t f)
virtual voidTObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual voidTObject::SavePrimitive(ostream& out, Option_t* option = "")
voidTObject::SetBit(UInt_t f)
voidTObject::SetBit(UInt_t f, Bool_t set)
voidSetDirection(Int_t direction)
virtual voidTObject::SetDrawOption(Option_t* option = "")MENU
static voidTObject::SetDtorOnly(void* obj)
voidSetEnhanceCoeff(Float_t enhanceCoeff)
voidSetFilterCoeff(Float_t filterCoeff)
static voidTObject::SetObjectStat(Bool_t stat)
voidSetRegion(Int_t xmin, Int_t xmax, Int_t ymin, Int_t ymax)
voidSetTransformType(Int_t transType, Int_t degree)
virtual voidTObject::SetUniqueID(UInt_t uid)
virtual voidShowMembers(TMemberInspector& insp)
virtual voidStreamer(TBuffer& b)
voidStreamerNVirtual(TBuffer& b)
virtual voidTObject::SysError(const char* method, const char* msgfmt) const
Bool_tTObject::TestBit(UInt_t f) const
Int_tTObject::TestBits(UInt_t f) const
voidTransform(const Float_t** fSource, Float_t** fDest)
virtual voidTObject::UseCurrentStyle()
virtual voidTObject::Warning(const char* method, const char* msgfmt) const
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
protected:
voidBitReverse(Float_t* working_space, Int_t num)
voidBitReverseHaar(Float_t* working_space, Int_t shift, Int_t num, Int_t start)
virtual voidTObject::DoError(int level, const char* location, const char* fmt, va_list va) const
voidFourCos2(Float_t** working_matrix, Float_t* working_vector, Int_t numx, Int_t numy, Int_t direction, Int_t type)
voidFourier(Float_t* working_space, Int_t num, Int_t hartley, Int_t direction, Int_t zt_clear)
voidGeneral2(Float_t** working_matrix, Float_t* working_vector, Int_t numx, Int_t numy, Int_t direction, Int_t type, Int_t degree)
Int_tGeneralExe(Float_t* working_space, Int_t zt_clear, Int_t num, Int_t degree, Int_t type)
Int_tGeneralInv(Float_t* working_space, Int_t num, Int_t degree, Int_t type)
voidHaar(Float_t* working_space, Int_t num, Int_t direction)
voidHaarWalsh2(Float_t** working_matrix, Float_t* working_vector, Int_t numx, Int_t numy, Int_t direction, Int_t type)
voidTObject::MakeZombie()
voidWalsh(Float_t* working_space, Int_t num)

Data Members

public:
enum { kTransformHaar
kTransformWalsh
kTransformCos
kTransformSin
kTransformFourier
kTransformHartley
kTransformFourierWalsh
kTransformFourierHaar
kTransformWalshHaar
kTransformCosWalsh
kTransformCosHaar
kTransformSinWalsh
kTransformSinHaar
kTransformForward
kTransformInverse
};
enum TObject::EStatusBits { kCanDelete
kMustCleanup
kObjInCanvas
kIsReferenced
kHasUUID
kCannotPick
kNoContextMenu
kInvalidObject
};
enum TObject::[unnamed] { kIsOnHeap
kNotDeleted
kZombie
kBitMask
kSingleKey
kOverwrite
kWriteDelete
};
protected:
Int_tfDegreedegree of mixed transform, applies only for Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar transforms
Int_tfDirectionforward or inverse transform
Float_tfEnhanceCoeffmultiplication coefficient applied in enhanced region;
Float_tfFilterCoeffvalue set in the filtered region
Int_tfSizeXx length of transformed data
Int_tfSizeYy length of transformed data
Int_tfTransformTypetype of transformation (Haar, Walsh, Cosine, Sine, Fourier, Hartley, Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar)
Int_tfXmaxlast channel x of filtered or enhanced region
Int_tfXminfirst channel x of filtered or enhanced region
Int_tfYmaxlast channel y of filtered or enhanced region
Int_tfYminfirst channel y of filtered or enhanced region

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

TSpectrum2Transform()
default constructor
TSpectrum2Transform(Int_t sizeX, Int_t sizeY)
the constructor creates TSpectrum2Transform object. Its sizes must be > than zero and must be power of 2.
It sets default transform type to be Cosine transform. Transform parameters can be changed using setter functions.
~TSpectrum2Transform()
destructor
void Haar(Float_t* working_space, Int_t num, Int_t direction)
AUXILIARY FUNCION

This function calculates Haar transform of a part of data
Function parameters:
-working_space-pointer to vector of transformed data
-num-length of processed data
-direction-forward or inverse transform


void Walsh(Float_t* working_space, Int_t num)
AUXILIARY FUNCION

This function calculates Walsh transform of a part of data
Function parameters:
-working_space-pointer to vector of transformed data
-num-length of processed data


void BitReverse(Float_t* working_space, Int_t num)
AUXILIARY FUNCION

This function carries out bir-reverse reordering of data
Function parameters:
-working_space-pointer to vector of processed data
-num-length of processed data


void Fourier(Float_t* working_space, Int_t num, Int_t hartley, Int_t direction, Int_t zt_clear)
AUXILIARY FUNCION

This function calculates Fourier based transform of a part of data
Function parameters:
-working_space-pointer to vector of transformed data
-num-length of processed data
-hartley-1 if it is Hartley transform, 0 othewise
-direction-forward or inverse transform


void BitReverseHaar(Float_t* working_space, Int_t shift, Int_t num, Int_t start)
AUXILIARY FUNCION

This function carries out bir-reverse reordering for Haar transform
Function parameters:
-working_space-pointer to vector of processed data
-shift-shift of position of processing
-start-initial position of processed data
-num-length of processed data


Int_t GeneralExe(Float_t* working_space, Int_t zt_clear, Int_t num, Int_t degree, Int_t type)
AUXILIARY FUNCION

   This function calculates generalized (mixed) transforms of different degrees
Function parameters:
-working_space-pointer to vector of transformed data
-zt_clear-flag to clear imaginary data before staring
-num-length of processed data
-degree-degree of transform (see manual)
-type-type of mixed transform (see manual)


Int_t GeneralInv(Float_t* working_space, Int_t num, Int_t degree, Int_t type)
AUXILIARY FUNCION

This function calculates inverse generalized (mixed) transforms
Function parameters:
-working_space-pointer to vector of transformed data
-num-length of processed data
-degree-degree of transform (see manual)
-type-type of mixed transform (see manual)


void HaarWalsh2(Float_t** working_matrix, Float_t* working_vector, Int_t numx, Int_t numy, Int_t direction, Int_t type)
AUXILIARY FUNCION

This function calculates 2D Haar and Walsh transforms
Function parameters:
-working_matrix-pointer to matrix of transformed data
-working_vector-pointer to vector where the data are processed
-numx,numy-lengths of processed data
-direction-forward or inverse
-type-type of transform (see manual)


void FourCos2(Float_t** working_matrix, Float_t* working_vector, Int_t numx, Int_t numy, Int_t direction, Int_t type)
AUXILIARY FUNCION

This function calculates 2D Fourier based transforms
Function parameters:
-working_matrix-pointer to matrix of transformed data
-working_vector-pointer to vector where the data are processed
-numx,numy-lengths of processed data
-direction-forward or inverse
-type-type of transform (see manual)


void General2(Float_t** working_matrix, Float_t* working_vector, Int_t numx, Int_t numy, Int_t direction, Int_t type, Int_t degree)
AUXILIARY FUNCION

This function calculates generalized (mixed) 2D transforms
Function parameters:
-working_matrix-pointer to matrix of transformed data
-working_vector-pointer to vector where the data are processed
-numx,numy-lengths of processed data
-direction-forward or inverse
-type-type of transform (see manual)
-degree-degree of transform (see manual)


void Transform(const Float_t** fSource, Float_t** fDest)
TWO-DIMENSIONAL TRANSFORM FUNCTION
This function transforms the source spectrum. The calling program
should fill in input parameters.
Transformed data are written into dest spectrum.

Function parameters:
fSource-pointer to the matrix of source spectrum, its size should
be fSizex*fSizey except for inverse FOURIER, FOUR-WALSH, FOUR-HAAR
transform. These need fSizex*2*fSizey length to supply real and
imaginary coefficients.
fDest-pointer to the matrix of destination data, its size should be
fSizex*fSizey except for direct FOURIER, FOUR-WALSh, FOUR-HAAR. These
need fSizex*2*fSizey length to store real and imaginary coefficients
fSizex,fSizey-basic dimensions of source and dest spectra



Transform methods

 

Goal: to analyze experimental data using orthogonal transforms

         orthogonal transforms can be successfully used for the processing of nuclear spectra (not only)

         they can be used to remove high frequency noise, to increase signal-to-background ratio as well as to enhance low intensity components [1], to carry out e.g. Fourier analysis etc.

         we have implemented the function for the calculation of the commonly used orthogonal transforms as well as functions for the filtration and enhancement of experimental data

 

Function:

void TSpectrumTransform2::Transform(const float **fSource, float **fDest)

 

This function transforms the source spectrum according to the given input parameters. Transformed data are written into dest spectrum. Before the Transform function is called the class must be created by constructor and the type of the transform as well as some other parameters must be set using a set of setter functions:

 

Member variables of TSpectrumTransform2 class:

fSource-pointer to the matrix of source spectrum. Its lengths should be equal to the “fSizex, fSizey” parameters except for inverse FOURIER, FOUR-WALSH, FOUR-HAAR transforms. These need “2*fSizex*fSizey” length to supply real and imaginary coefficients.                   

fDest-pointer to the matrix of destination spectrum. Its lengths should be equal to the “fSizex, fSizey” parameters except for inverse FOURIER, FOUR-WALSH, FOUR-HAAR transforms. These need “2*fSizex*fSizey” length to store real and imaginary coefficients.

        fSizeX,fSizeY-basic lengths of the source and dest spectra. They should be power  

      of 2.

fType-type of transform

            Classic transforms:

                        kTransformHaar

                        kTransformWalsh

                        kTransformCos

                        kTransformSin

                        kTransformFourier

                        kTransformHartley

            Mixed transforms:

                        kTransformFourierWalsh

                        kTransformFourierHaar

                        kTransformWalshHaar

                        kTransformCosWalsh

                        kTransformCosHaar

                        kTransformSinWalsh

                        kTransformSinHaar

fDirection-direction-transform direction (forward, inverse)

                        kTransformForward

                        kTransformInverse

fDegree-applies only for mixed transforms [2], [3], [4].

                  Allowed range  .

References:

[1] C.V. Hampton, B. Lian, Wm. C. McHarris: Fast-Fourier-transform spectral enhancement techniques for gamma-ray spectroscopy. NIM A353 (1994) 280-284.

[2] Morháč M., Matoušek V., New adaptive Cosine-Walsh  transform and its application to nuclear data compression, IEEE Transactions on Signal Processing 48 (2000) 2693. 

[3] Morháč M., Matoušek V., Data compression using new fast adaptive Cosine-Haar transforms, Digital Signal Processing 8 (1998) 63.

[4] Morháč M., Matoušek V.: Multidimensional nuclear data compression using fast adaptive Walsh-Haar transform. Acta Physica Slovaca 51 (2001) 307.

 

Example 1 – script Transform2.c:

Fig. 1 Original two-dimensional noisy spectrum

Fig. 2 Transformed spectrum from Fig. 1 using Cosine transform. Energy of the trasnsformed data is concentrated around the beginning of the coordinate system

 

Script:

// Example to illustrate Transform function (class TSpectrumTransform2).

// To execute this example, do

// root > .x Transform2.C

void Transform2() {

   Int_t i, j;

   Int_t nbinsx = 256;

   Int_t nbinsy = 256;  

   Int_t xmin  = 0;

   Int_t xmax  = nbinsx;

   Int_t ymin  = 0;

   Int_t ymax  = nbinsy;

   Float_t ** source = new float *[nbinsx];  

   Float_t ** dest = new float *[nbinsx];     

   for (i=0;i<nbinsx;i++)

                                                source[i]=new float[nbinsy];

   for (i=0;i<nbinsx;i++)

                                                dest[i]=new float[nbinsy];  

   TH2F *trans = new TH2F("trans","Background estimation",nbinsx,xmin,xmax,nbinsy,ymin,ymax);

   TFile *f = new TFile("TSpectrum2.root");

   trans=(TH2F*) f->Get("back3;1");

   TCanvas *Tr = new TCanvas("Transform","Illustation of transform function",10,10,1000,700);

   for (i = 0; i < nbinsx; i++){

     for (j = 0; j < nbinsy; j++){

                    source[i][j] = trans->GetBinContent(i + 1,j + 1);

                 }

   }          

   TSpectrumTransform2 *t = new TSpectrumTransform2(256,256);  

   t->SetTransformType(t->kTransformCos,0);

   t->SetDirection(t->kTransformForward);

   t->Transform(source,dest);

   for (i = 0; i < nbinsx; i++){

     for (j = 0; j < nbinsy; j++){

                  trans->SetBinContent(i + 1, j + 1,dest[i][j]);

                 }

   }  

   trans->Draw("SURF");     

}

void FilterZonal(const Float_t** fSource, Float_t** fDest)
TWO-DIMENSIONAL FILTER ZONAL FUNCTION
This function transforms the source spectrum. The calling program
should fill in input parameters. Then it sets transformed
coefficients in the given region to the given
filter_coeff and transforms it back
Filtered data are written into dest spectrum.

Function parameters:
fSource-pointer to the matrix of source spectrum, its size should
be fSizeX*fSizeY
fDest-pointer to the matrix of destination data, its size should be
fSizeX*fSizeY



Example of zonal filtering

 

Function:

void TSpectrumTransform2::FilterZonal(const float **fSource, float **fDest)

 

This function transforms the source spectrum (for details see Transform function).  Before the FilterZonal function is called the class must be created by constructor and the type of the transform as well as some other parameters must be set using a set of setter functions. The FilterZonal function sets transformed coefficients in the given region (fXmin, fXmax) to the given fFilterCoeff and transforms it back. Filtered data are written into dest spectrum.

 

Example  – script Fitler2.c:

Fig. 1 Original two-dimensional noisy spectrum

Fig. 2 Filtered spectrum using Cosine transform and zonal filtration (channels in regions (128-255)x(0-255) and (0-255)x(128-255) were set to 0).  

 

Script:

// Example to illustrate zonal filtration (class TSpectrumTransform2).

// To execute this example, do

// root > .x Filter2.C

 

void Filter2() {

   Int_t i, j;

   Int_t nbinsx = 256;

   Int_t nbinsy = 256;  

   Int_t xmin  = 0;

   Int_t xmax  = nbinsx;

   Int_t ymin  = 0;

   Int_t ymax  = nbinsy;

   Float_t ** source = new float *[nbinsx];  

   Float_t ** dest = new float *[nbinsx];     

   for (i=0;i<nbinsx;i++)

                                                source[i]=new float[nbinsy];

   for (i=0;i<nbinsx;i++)

                                                dest[i]=new float[nbinsy];  

   TH2F *trans = new TH2F("trans","Background estimation",nbinsx,xmin,xmax,nbinsy,ymin,ymax);

   TFile *f = new TFile("TSpectrum2.root");

   trans=(TH2F*) f->Get("back3;1");

   TCanvas *Tr = new TCanvas("Transform","Illustation of transform function",10,10,1000,700);

   for (i = 0; i < nbinsx; i++){

     for (j = 0; j < nbinsy; j++){

                    source[i][j] = trans->GetBinContent(i + 1,j + 1);

                 }

   }          

   TSpectrumTransform2 *t = new TSpectrumTransform2(256,256);  

   t->SetTransformType(t->kTransformCos,0);  

   t->SetRegion(0,255,128,255);

   t->FilterZonal(source,dest);    

   for (i = 0; i < nbinsx; i++){

     for (j = 0; j < nbinsy; j++){

                    source[i][j] = dest[i][j];

                 }

   }  

   t->SetRegion(128,255,0,255);

   t->FilterZonal(source,dest);       

   trans->Draw("SURF");    

}

void Enhance(const Float_t** fSource, Float_t** fDest)
TWO-DIMENSIONAL ENHANCE ZONAL FUNCTION
This function transforms the source spectrum. The calling program
should fill in input parameters. Then it multiplies transformed
coefficients in the given region by the given
enhance_coeff and transforms it back

Function parameters:
fSource-pointer to the matrix of source spectrum, its size should
be fSizeX*fSizeY
fDest-pointer to the matrix of destination data, its size should be
fSizeX*fSizeY



Example of enhancement

 

Function:

void TSpectrumTransform2::Enhance(const float **fSource, float **fDest)

 

This function transforms the source spectrum (for details see Transform function).  Before the Enhance function is called the class must be created by constructor and the type of the transform as well as some other parameters must be set using a set of setter functions. The Enhance function multiplies transformed coefficients in the given region (fXmin, fXmax, fYmin, fYmax) by the given fEnhancCoeff and transforms it back. Enhanced data are written into dest spectrum.

Example – script Enhance2.c:

Fig. 1 Original two-dimensional noisy spectrum

Fig. 2 Enhanced spectrum of the data from Fig. 1 using Cosine transform (channels in region (0-63)x(0-63) were multiplied by 5)

 

Script:

// Example to illustrate enhancement (class TSpectrumTransform2).

// To execute this example, do

// root > .x Enhance2.C

 

void Enhance2() {

   Int_t i, j;

   Int_t nbinsx = 256;

   Int_t nbinsy = 256;  

   Int_t xmin  = 0;

   Int_t xmax  = nbinsx;

   Int_t ymin  = 0;

   Int_t ymax  = nbinsy;

   Float_t ** source = new float *[nbinsx];  

   Float_t ** dest = new float *[nbinsx];     

   for (i=0;i<nbinsx;i++)

                                                source[i]=new float[nbinsy];

   for (i=0;i<nbinsx;i++)

                                                dest[i]=new float[nbinsy];  

   TH2F *trans = new TH2F("trans","Background estimation",nbinsx,xmin,xmax,nbinsy,ymin,ymax);

   TFile *f = new TFile("TSpectrum2.root");

   trans=(TH2F*) f->Get("back3;1");

   TCanvas *Tr = new TCanvas("Transform","Illustation of transform function",10,10,1000,700);

   for (i = 0; i < nbinsx; i++){

     for (j = 0; j < nbinsy; j++){

                    source[i][j] = trans->GetBinContent(i + 1,j + 1);

                 }

   }          

   TSpectrumTransform2 *t = new TSpectrumTransform2(256,256);  

   t->SetTransformType(t->kTransformCos,0);  

   t->SetRegion(0,63,0,63);  

   t->SetEnhanceCoeff(5);

   t->Enhance(source,dest);  

   trans->Draw("SURF");    

}

void SetTransformType(Int_t transType, Int_t degree)
   SETTER FUNCION

   This function sets the following parameters for transform:
         -transType - type of transform (Haar, Walsh, Cosine, Sine, Fourier, Hartley, Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar)
         -degree - degree of mixed transform, applies only for Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar transforms

void SetRegion(Int_t xmin, Int_t xmax, Int_t ymin, Int_t ymax)
   SETTER FUNCION

   This function sets the filtering or enhancement region:
         -xmin, xmax, ymin, ymax

void SetDirection(Int_t direction)
   SETTER FUNCION

   This function sets the direction of the transform:
         -direction (forward or inverse)

void SetFilterCoeff(Float_t filterCoeff)
   SETTER FUNCION

   This function sets the filter coefficient:
         -filterCoeff - after the transform the filtered region (xmin, xmax, ymin, ymax) is replaced by this coefficient. Applies only for filtereng operation.

void SetEnhanceCoeff(Float_t enhanceCoeff)
   SETTER FUNCION

   This function sets the enhancement coefficient:
         -enhanceCoeff - after the transform the enhanced region (xmin, xmax, ymin, ymax) is multiplied by this coefficient. Applies only for enhancement operation.

TSpectrum2Transform()