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/////////////////////////////////////////////////////////////
// //
// Copyright (c) 2003-2014 by The University of Queensland //
// Centre for Geoscience Computing //
// http://earth.uq.edu.au/centre-geoscience-computing //
// //
// Primary Business: Brisbane, Queensland, Australia //
// Licensed under the Open Software License version 3.0 //
// http://www.apache.org/licenses/LICENSE-2.0 //
// //
/////////////////////////////////////////////////////////////
#ifndef ESYS_LSMLINEARWINDOWAVERAGER_H
#define ESYS_LSMLINEARWINDOWAVERAGER_H
#include <cstdlib>
#include "Foundation/vec3.h"
#include <vector>
namespace esys
{
namespace lsm
{
class LinearWindowAverager
{
public:
typedef std::vector<double> ValueVector;
LinearWindowAverager(
const ValueVector &valVector,
int halfWindowSize,
int beginIndex,
int endIndex,
int skipSize
)
:
m_valVector(valVector),
m_avValVector(),
m_halfWindowSize(halfWindowSize),
m_beginIndex(beginIndex),
m_endIndex(min(endIndex, static_cast<int>(valVector.size()))),
m_skipSize(skipSize)
{
}
const ValueVector &getAveragedVector()
{
if (m_avValVector.size() <= 0) {
calculateAverageVals();
}
return m_avValVector;
}
protected:
void calculateAverageVals()
{
m_avValVector.clear();
const int halfWindowSize = max(0, m_halfWindowSize);
for (int i = m_beginIndex; i < m_endIndex; i += m_skipSize)
{
double avSum = 0.0;
double weightSum = 0.0;
const int endJ = min(static_cast<int>(m_valVector.size()), i + halfWindowSize+1);
for (int j = max(0, i - halfWindowSize); j < endJ; j++)
{
const double weight = (1.0 - (static_cast<double>(abs(i-j))/(halfWindowSize+1)));
weightSum += weight;
avSum += weight*m_valVector[j];
}
m_avValVector.push_back(avSum/weightSum);
}
}
private:
ValueVector m_valVector;
ValueVector m_avValVector;
int m_halfWindowSize;
int m_beginIndex;
int m_endIndex;
int m_skipSize;
};
}
}
#endif
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