2016-06-19 18:45:24 -04:00
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///////////////////////////////////////////////////////////////////////////////////////
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// //
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// http://stackoverflow.com/questions/10990618/calculate-rolling-moving-average-in-c //
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// //
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// Copyright (C) 2016 Edouard Griffiths, F4EXB //
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// //
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// This program is free software; you can redistribute it and/or modify //
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// it under the terms of the GNU General Public License as published by //
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// the Free Software Foundation as version 3 of the License, or //
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2019-04-11 08:32:15 -04:00
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// (at your option) any later version. //
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2016-06-19 18:45:24 -04:00
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// //
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// This program is distributed in the hope that it will be useful, //
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// but WITHOUT ANY WARRANTY; without even the implied warranty of //
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the //
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// GNU General Public License V3 for more details. //
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// //
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// You should have received a copy of the GNU General Public License //
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// along with this program. If not, see <http://www.gnu.org/licenses/>. //
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///////////////////////////////////////////////////////////////////////////////////////
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2016-07-14 14:31:26 -04:00
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#ifndef _UTIL_MOVINGAVERAGE_H_
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#define _UTIL_MOVINGAVERAGE_H_
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2016-06-19 18:45:24 -04:00
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#include <algorithm>
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template <typename T, typename Total, int N>
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2017-11-05 19:02:20 -05:00
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class MovingAverageUtil
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2016-06-19 18:45:24 -04:00
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{
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public:
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2017-11-05 19:02:20 -05:00
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MovingAverageUtil()
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2018-02-03 01:17:49 -05:00
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: m_num_samples(0), m_index(0), m_total(0)
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2016-06-19 18:45:24 -04:00
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{ }
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2018-02-03 04:33:02 -05:00
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void reset()
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{
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m_num_samples = 0;
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m_index = 0;
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m_total = 0;
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}
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2016-06-19 18:45:24 -04:00
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void operator()(T sample)
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{
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2018-02-03 01:17:49 -05:00
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if (m_num_samples < N) // fill up
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2016-06-19 18:45:24 -04:00
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{
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m_samples[m_num_samples++] = sample;
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m_total += sample;
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}
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2018-02-03 01:17:49 -05:00
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else // roll
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2016-06-19 18:45:24 -04:00
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{
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2018-02-03 01:17:49 -05:00
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T& oldest = m_samples[m_index];
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2016-06-19 18:45:24 -04:00
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m_total += sample - oldest;
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oldest = sample;
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2018-02-03 04:33:02 -05:00
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m_index = (m_index + 1) % N;
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2016-06-19 18:45:24 -04:00
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}
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}
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2018-02-24 04:29:27 -05:00
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double asDouble() const { return ((double)m_total) / N; }
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float asFloat() const { return ((float)m_total) / N; }
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2018-01-31 20:45:55 -05:00
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operator T() const { return m_total / N; }
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2018-08-31 01:38:30 -04:00
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T instantAverage() const { return m_total / (m_num_samples == 0 ? 1 : m_num_samples); }
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2016-06-19 18:45:24 -04:00
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private:
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T m_samples[N];
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int m_num_samples;
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2018-02-03 01:17:49 -05:00
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unsigned int m_index;
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2016-06-19 18:45:24 -04:00
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Total m_total;
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};
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2018-05-14 19:03:43 -04:00
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template <typename T, typename Total>
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class MovingAverageUtilVar
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{
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public:
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MovingAverageUtilVar(unsigned int size)
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: m_num_samples(0), m_index(0), m_total(0)
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{
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m_samples.resize(size);
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}
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void reset()
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{
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m_num_samples = 0;
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m_index = 0;
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m_total = 0;
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}
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void resize(unsigned int size)
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{
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reset();
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m_samples.resize(size);
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}
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2018-05-18 13:03:54 -04:00
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unsigned int size() const
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{
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return m_samples.size();
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}
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2018-05-14 19:03:43 -04:00
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void operator()(T sample)
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{
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if (m_num_samples < m_samples.size()) // fill up
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{
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m_samples[m_num_samples++] = sample;
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m_total += sample;
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}
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else // roll
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{
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T& oldest = m_samples[m_index];
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m_total += sample - oldest;
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oldest = sample;
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m_index = (m_index + 1) % m_samples.size();
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}
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}
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double asDouble() const { return ((double)m_total) / m_samples.size(); }
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float asFloat() const { return ((float)m_total) / m_samples.size(); }
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operator T() const { return m_total / m_samples.size(); }
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private:
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std::vector<T> m_samples;
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unsigned int m_num_samples;
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unsigned int m_index;
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Total m_total;
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};
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2019-02-02 19:52:11 -05:00
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#endif /* _UTIL_MOVINGAVERAGE_H_ */
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