PlantCtrl/esp32/src/RunningMedian.cpp

184 lines
4.0 KiB
C++

//
// FILE: RunningMedian.cpp
// AUTHOR: Rob.Tillaart at gmail.com
// VERSION: 0.2.1
// PURPOSE: RunningMedian library for Arduino
//
// HISTORY:
// 0.1.00 - 2011-02-16 initial version
// 0.1.01 - 2011-02-22 added remarks from CodingBadly
// 0.1.02 - 2012-03-15 added
// 0.1.03 - 2013-09-30 added _sorted flag, minor refactor
// 0.1.04 - 2013-10-17 added getAverage(uint8_t) - kudo's to Sembazuru
// 0.1.05 - 2013-10-18 fixed bug in sort; removes default constructor; dynamic memory
// 0.1.06 - 2013-10-19 faster sort, dynamic arrays, replaced sorted float array with indirection array
// 0.1.07 - 2013-10-19 add correct median if _cnt is even.
// 0.1.08 - 2013-10-20 add getElement(), add getSottedElement() add predict()
// 0.1.09 - 2014-11-25 float to double (support ARM)
// 0.1.10 - 2015-03-07 fix clear
// 0.1.11 - 2015-03-29 undo 0.1.10 fix clear
// 0.1.12 - 2015-07-12 refactor constructor + const
// 0.1.13 - 2015-10-30 fix getElement(n) - kudos to Gdunge
// 0.1.14 - 2017-07-26 revert double to float - issue #33
// 0.1.15 - 2018-08-24 make runningMedian Configurable #110
// 0.2.0 2020-04-16 refactor.
// 0.2.1 2020-06-19 fix library.json
#include "RunningMedian.h"
RunningMedian::RunningMedian(const uint8_t size)
{
_size = constrain(size, MEDIAN_MIN_SIZE, MEDIAN_MAX_SIZE);
#ifdef RUNNING_MEDIAN_USE_MALLOC
_ar = (float *)malloc(_size * sizeof(float));
_p = (uint8_t *)malloc(_size * sizeof(uint8_t));
#endif
clear();
}
RunningMedian::~RunningMedian()
{
#ifdef RUNNING_MEDIAN_USE_MALLOC
free(_ar);
free(_p);
#endif
}
// resets all counters
void RunningMedian::clear()
{
_cnt = 0;
_idx = 0;
_sorted = false;
for (uint8_t i = 0; i < _size; i++)
{
_p[i] = i;
}
}
// adds a new value to the data-set
// or overwrites the oldest if full.
void RunningMedian::add(float value)
{
_ar[_idx++] = value;
if (_idx >= _size)
_idx = 0; // wrap around
if (_cnt < _size)
_cnt++;
_sorted = false;
}
float RunningMedian::getMedian()
{
if (_cnt == 0)
return NAN;
if (_sorted == false)
sort();
if (_cnt & 0x01) // is it odd sized?
{
return _ar[_p[_cnt / 2]];
}
return (_ar[_p[_cnt / 2]] + _ar[_p[_cnt / 2 - 1]]) / 2;
}
float RunningMedian::getAverage()
{
if (_cnt == 0)
return NAN;
float sum = 0;
for (uint8_t i = 0; i < _cnt; i++)
{
sum += _ar[i];
}
return sum / _cnt;
}
float RunningMedian::getAverage(uint8_t nMedians)
{
if ((_cnt == 0) || (nMedians == 0))
return NAN;
if (_cnt < nMedians)
nMedians = _cnt; // when filling the array for first time
uint8_t start = ((_cnt - nMedians) / 2);
uint8_t stop = start + nMedians;
if (_sorted == false)
sort();
float sum = 0;
for (uint8_t i = start; i < stop; i++)
{
sum += _ar[_p[i]];
}
return sum / nMedians;
}
float RunningMedian::getElement(const uint8_t n)
{
if ((_cnt == 0) || (n >= _cnt))
return NAN;
uint8_t pos = _idx + n;
if (pos >= _cnt) // faster than %
{
pos -= _cnt;
}
return _ar[pos];
}
float RunningMedian::getSortedElement(const uint8_t n)
{
if ((_cnt == 0) || (n >= _cnt))
return NAN;
if (_sorted == false)
sort();
return _ar[_p[n]];
}
// n can be max <= half the (filled) size
float RunningMedian::predict(const uint8_t n)
{
if ((_cnt == 0) || (n >= _cnt / 2))
return NAN;
float med = getMedian(); // takes care of sorting !
if (_cnt & 0x01)
{
return max(med - _ar[_p[_cnt / 2 - n]], _ar[_p[_cnt / 2 + n]] - med);
}
float f1 = (_ar[_p[_cnt / 2 - n]] + _ar[_p[_cnt / 2 - n - 1]]) / 2;
float f2 = (_ar[_p[_cnt / 2 + n]] + _ar[_p[_cnt / 2 + n - 1]]) / 2;
return max(med - f1, f2 - med) / 2;
}
void RunningMedian::sort()
{
// bubble sort with flag
for (uint8_t i = 0; i < _cnt - 1; i++)
{
bool flag = true;
for (uint8_t j = 1; j < _cnt - i; j++)
{
if (_ar[_p[j - 1]] > _ar[_p[j]])
{
uint8_t t = _p[j - 1];
_p[j - 1] = _p[j];
_p[j] = t;
flag = false;
}
}
if (flag)
break;
}
_sorted = true;
}
// -- END OF FILE --