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/*
xmunipack - fits implementation of statistics
Copyright © 2018-2021 F.Hroch (hroch@physics.muni.cz)
This file is part of Munipack.
Munipack 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, either version 3 of the License, or
(at your option) any later version.
Munipack 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 for more details.
You should have received a copy of the GNU General Public License
along with Munipack. If not, see <http://www.gnu.org/licenses/>.
*/
#include "fits.h"
#include <cfloat>
#include <wx/wx.h>
#include <limits>
using namespace std;
FitsArrayStat::FitsArrayStat(const FitsArray& a, int nskip):
FitsArray(a),minmax_initialised(false),medmad_initialised(false),
skip(nskip > 0 ? nskip : max(int(Npixels())/32768,1)),
med(0.0),mad(0.0),xmin(0.0),xmax(0.0)
{
wxASSERT(PixelData() && Naxis() > 0);
}
float FitsArrayStat::GetMin()
{
if( ! minmax_initialised ) {
Setup_minimax();
minmax_initialised = true;
}
return xmin;
}
float FitsArrayStat::GetMax()
{
if( ! minmax_initialised ) {
Setup_minimax();
minmax_initialised = true;
}
return xmax;
}
void FitsArrayStat::Setup_minimax()
{
// maximum, minimum
xmin = numeric_limits<double>::max();
xmax = numeric_limits<double>::min();
const float *d = PixelData();
for(long i = 0; i < Npixels(); i++) {
float x = d[i];
if( x > xmax ) xmax = x;
if( x < xmin ) xmin = x;
}
wxLogDebug("FitsArrayStat::Setup_minimax() %f %f",xmin,xmax);
}
float FitsArrayStat::GetMed()
{
if( !medmad_initialised ) {
Setup_medmad();
medmad_initialised = true;
}
return med;
}
float FitsArrayStat::GetMad()
{
if( !medmad_initialised ) {
Setup_medmad();
medmad_initialised = true;
}
return mad;
}
void FitsArrayStat::Setup_medmad()
{
long nd = Npixels() / skip;
float *d = new float[nd+1];
// median
for(long i = 0, j = 0; j < nd; i += skip, j++) {
float x = Pixel(i);
d[j] = x;
}
med = QMed(nd,d,nd/2+1);
// mad = median of absolute deviations
long n = 0;
int imax = Npixels() - skip;
for(int i = 0; n < nd && i < imax; i += skip) {
float r = Pixel(i) - med;
if( r > 0.0 )
d[n++] = r;
}
mad = QMed(n,d,n/2+1);
delete[] d;
wxLogDebug("Setup_medmad(): %f %f %ld %f %d",mad,med,n,Pixel(1),skip);
}
float FitsArrayStat::QMed(long n, float *a, int k)
{
float w,x;
long l,r,i,j;
x = 0.0;
l = 0;
r = n - 1;
while( l < r ) {
x = a[k]; i = l; j = r;
do {
while( a[i] < x && i < r) i++;
while( x < a[j] && j > l) j--;
if( i <= j ) { w = a[i]; a[i] = a[j]; a[j] = w; i++; j--; }
} while ( i <= j );
if( j < k ) l = i;
if( k < i ) r = j;
}
return(x);
}
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