mql-for-begginers/Scripts/Examples/OpenCL/Float/Kernels/wavelet.cl
2025-07-22 18:30:17 +03:00

48 lines
1.5 KiB
Common Lisp

//+------------------------------------------------------------------+
//| Morlet wavelet function |
//+------------------------------------------------------------------+
float Morlet(const float t)
{
return exp(-t*t*0.5)*cos(M_2_PI*t);
}
//+------------------------------------------------------------------+
//| OpenCL kernel function |
//+------------------------------------------------------------------+
__kernel void Wavelet_GPU(__global float *data,int datacount,int x_size,int y_size,__global float *result)
{
size_t i = get_global_id(0);
size_t j = get_global_id(1);
float a1=(float)10e-10;
float a2=(float)15.0;
float da=(a2-a1)/(float)y_size;
float db=((float)datacount-(float)0.0)/x_size;
float a=a1+j*da;
float b=0+i*db;
uint norm=1;
float B=(float)1.0; //Morlet
float B_inv=(float)1.0/B;
float a_inv=(float)1.0/a;
float dt=(float)1.0;
float coef=(float)0.0;
if(norm==0)
coef=sqrt(a_inv);
else
{
for(int k=0; k<datacount; k++)
{
float arg=(dt*k-b)*a_inv;
arg=-B_inv*arg*arg;
coef=coef+exp(arg);
}
}
float sum=(float)0.0;
for(int k=0; k<datacount; k++)
{
float arg=(dt*k-b)*a_inv;
sum+=data[k]*Morlet(arg);
}
sum=sum/coef;
uint pos=(int)(j*x_size+i);
result[pos]=sum;
};
//+------------------------------------------------------------------+