34 for(
int i=0;
i<
N;
i++) h[
i] =
rnd.Gaus();
38 double omega = TMath::TwoPi()*100;
39 for(
int i=0;
i<
N;
i++) h[
i] += sin(omega*
i*T);
54 for(
int i=0;
i<
N;
i++) x[
i] = 0.1*
rnd.Gaus();
57 omega = TMath::TwoPi()*100;
58 for(
int i=0;
i<
N;
i++) x[
i] += 0.25*sin(omega*
i*T);
97 TCanvas *
c1 =
new TCanvas(
"comp",
"comp",0,0,800,600);
107 plot.graph[0]->SetTitle(
"Black : noisy data | Red : cleaned data");
114 plot.graph[2]->SetTitle(
"Black : noisy data | Red : cleaned data");
121 plot.graph[4]->SetTitle(
"Black : noisy data | Red : cleaned data");
128 plot.graph[6]->SetTitle(
"Black : noisy data | Red : cleaned data");
130 c1->SaveAs(
"Regression_Sine_parameters.png");
void setMatrix(double edge=0., double f=1.)
virtual void rate(double r)
cout<< "skymap size : "<< L<< endl;for(int l=0;l< L;l++) sm.set(l, l);sm > const_cast< char * >("skymap.dat")
cout<< endl;cout<< "ts size = "<< ts.size()<< " ts rate = "<< ts.rate()<< endl;tf.Forward(ts, wdm);int levels=tf.getLevel();cout<< "tf size = "<< tf.size()<< endl;double dF=tf.resolution();double dT=1./(2 *dF);cout<< "rate(hz) : "<< RATE<< "\t layers : "<< nLAYERS<< "\t dF(hz) : "<< dF<< "\t dT(ms) : "<< dT *1000.<< endl;int itime=TIME_PIXEL_INDEX;int ifreq=FREQ_PIXEL_INDEX;int index=(levels+1)*itime+ifreq;double time=itime *dT;double freq=(ifreq >0)?ifreq *dF:dF/4;cout<< endl;cout<< "PIXEL TIME = "<< time<< " sec "<< endl;cout<< "PIXEL FREQ = "<< freq<< " Hz "<< endl;cout<< endl;wavearray< double > x
size_t add(WSeries< double > &target, char *name, double fL=0., double fH=0.)
virtual void start(double s)
void apply(double threshold=0., char c='a')
void solve(double th, int nE=0, char c='s')
wavearray< double > getClean()
WDM< double > wdtf(lev, 2 *lev, 6, 10)
virtual void stop(double s)
void Forward(int n=-1)
param: wavelet - n is number of steps (-1 means full decomposition)
void unmask(int n, double flow=0., double fhigh=0.)
void mask(int n, double flow=0., double fhigh=0.)
virtual void resize(unsigned int)