2018-06-28 21:44:19 +00:00
|
|
|
///////////////////////////////////////////////////////////////////////////////////
|
2023-11-19 05:43:20 +00:00
|
|
|
// Copyright (C) 2018-2019 Edouard Griffiths, F4EXB <f4exb06@gmail.com> //
|
2018-06-28 21:44:19 +00:00
|
|
|
// //
|
|
|
|
// This program is free software; you can redistribute it and/or modify //
|
|
|
|
// it under the terms of the GNU General Public License as published by //
|
|
|
|
// the Free Software Foundation as version 3 of the License, or //
|
2019-04-11 12:32:15 +00:00
|
|
|
// (at your option) any later version. //
|
2018-06-28 21:44:19 +00:00
|
|
|
// //
|
|
|
|
// This program is distributed in the hope that it will be useful, //
|
|
|
|
// but WITHOUT ANY WARRANTY; without even the implied warranty of //
|
|
|
|
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the //
|
|
|
|
// GNU General Public License V3 for more details. //
|
|
|
|
// //
|
|
|
|
// You should have received a copy of the GNU General Public License //
|
|
|
|
// along with this program. If not, see <http://www.gnu.org/licenses/>. //
|
|
|
|
///////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
#ifndef _UTIL_MOVINGAVERAGE2D_H_
|
|
|
|
#define _UTIL_MOVINGAVERAGE2D_H_
|
|
|
|
|
|
|
|
#include <algorithm>
|
|
|
|
|
|
|
|
template<typename T>
|
|
|
|
class MovingAverage2D
|
|
|
|
{
|
|
|
|
public:
|
|
|
|
MovingAverage2D() : m_data(0), m_sum(0), m_dataSize(0), m_sumSize(0), m_width(0), m_depth(0), m_avgIndex(0) {}
|
|
|
|
|
|
|
|
~MovingAverage2D()
|
|
|
|
{
|
|
|
|
if (m_data) {
|
|
|
|
delete[] m_data;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (m_sum) {
|
|
|
|
delete[] m_sum;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void resize(unsigned int width, unsigned int depth)
|
|
|
|
{
|
|
|
|
if (width*depth > m_dataSize)
|
|
|
|
{
|
|
|
|
m_dataSize = width*depth;
|
|
|
|
if (m_data) {
|
|
|
|
delete[] m_data;
|
|
|
|
}
|
|
|
|
m_data = new T[m_dataSize];
|
|
|
|
}
|
|
|
|
|
|
|
|
if (width > m_sumSize)
|
|
|
|
{
|
|
|
|
m_sumSize = width;
|
|
|
|
if (m_sum) {
|
|
|
|
delete[] m_sum;
|
|
|
|
}
|
|
|
|
m_sum = new T[m_sumSize];
|
|
|
|
}
|
|
|
|
|
|
|
|
m_width = width;
|
|
|
|
m_depth = depth;
|
|
|
|
|
|
|
|
std::fill(m_data, m_data+(m_width*m_depth), 0.0);
|
|
|
|
std::fill(m_sum, m_sum+m_width, 0.0);
|
|
|
|
|
|
|
|
m_avgIndex = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
T storeAndGetAvg(T v, unsigned int index)
|
|
|
|
{
|
2018-06-30 20:30:42 +00:00
|
|
|
if (m_depth <= 1)
|
2018-06-28 21:44:19 +00:00
|
|
|
{
|
|
|
|
return v;
|
|
|
|
}
|
|
|
|
else if (index < m_width)
|
|
|
|
{
|
|
|
|
T first = m_data[m_avgIndex*m_width+index];
|
|
|
|
m_sum[index] += (v - first);
|
|
|
|
m_data[m_avgIndex*m_width+index] = v;
|
|
|
|
return m_sum[index] / m_depth;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
T storeAndGetSum(T v, unsigned int index)
|
|
|
|
{
|
|
|
|
if (m_depth == 1)
|
|
|
|
{
|
|
|
|
return v;
|
|
|
|
}
|
|
|
|
else if (index < m_width)
|
|
|
|
{
|
|
|
|
T first = m_data[m_avgIndex*m_width+index];
|
|
|
|
m_sum[index] += (v - first);
|
|
|
|
m_data[m_avgIndex*m_width+index] = v;
|
|
|
|
return m_sum[index];
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void nextAverage() {
|
|
|
|
m_avgIndex = m_avgIndex == m_depth-1 ? 0 : m_avgIndex+1;
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
T *m_data;
|
|
|
|
T *m_sum;
|
|
|
|
unsigned int m_dataSize;
|
|
|
|
unsigned int m_sumSize;
|
|
|
|
unsigned int m_width;
|
|
|
|
unsigned int m_depth;
|
|
|
|
unsigned int m_avgIndex;
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
#endif
|