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/***********************************************/
/**
* @file kernelBlackmanLowPass.cpp
*
* @brief Kernel smoothed by Blackman low-pass filter
* @see Kernel
*
* @author Andreas Kvas
* @date 2019-03-01
*
*/
/***********************************************/
#include "base/import.h"
#include "classes/kernel/kernel.h"
#include "classes/kernel/kernelBlackmanLowPass.h"
/***********************************************/
KernelBlackmanLowPass::KernelBlackmanLowPass(Config &config)
{
try
{
readConfig(config, "kernel", kernel, Config::MUSTSET, "", "");
readConfig(config, "startDegreeTransition", n1, Config::MUSTSET, "", "minimum degree in transition band");
readConfig(config, "stopDegreeTransition", n2, Config::MUSTSET, "", "maximum degree in transition band");
if(isCreateSchema(config)) return;
if(n1>n2)
throw(Exception("Transition band limits must be given in increasing order."));
}
catch(std::exception &e)
{
GROOPS_RETHROW(e)
}
}
/***********************************************/
Vector KernelBlackmanLowPass::computeFilterCoefficients(UInt degree) const
{
try
{
Vector wn(degree+1);
for(UInt n = 0; n < std::min(n1, degree+1); n++) // pass band
wn(n) = 1.0;
for(UInt n = n1; n <= std::min(n2, degree); n++)
{
wn(n) = std::pow(0.42 + 0.5 * std::cos(PI*static_cast<Double>(n-n1)/static_cast<Double>(n2-n1)) +
0.08 * std::cos(2*PI*static_cast<Double>(n-n1)/static_cast<Double>(n2-n1)), 1);
}
return wn;
}
catch(std::exception &e)
{
GROOPS_RETHROW(e)
}
}
/***********************************************/
Vector KernelBlackmanLowPass::coefficients(const Vector3d &p, UInt degree) const
{
Vector kn = kernel->coefficients(p,degree);
if(filterCoeff.size()<kn.size())
filterCoeff = computeFilterCoefficients(kn.size()-1);
for(UInt n=0; n<kn.size(); n++)
kn(n) *= filterCoeff(n);
return kn;
}
/***********************************************/
Vector KernelBlackmanLowPass::inverseCoefficients(const Vector3d &p, UInt degree, Bool interior) const
{
Vector kn = kernel->inverseCoefficients(p, degree, interior);
if(filterCoeff.size()<kn.size())
filterCoeff = computeFilterCoefficients(kn.size()-1);
for(UInt n=0; n<kn.size(); n++)
kn(n) *= filterCoeff(n);
return kn;
}
/***********************************************/
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