[37] | 1 | //#---------------------------------------------------------------------------
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| 2 | //# MathUtilities.cc: General math operations
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| 3 | //#---------------------------------------------------------------------------
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| 4 | //# Copyright (C) 2004
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[125] | 5 | //# ATNF
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[37] | 6 | //#
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| 7 | //# This program is free software; you can redistribute it and/or modify it
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| 8 | //# under the terms of the GNU General Public License as published by the Free
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| 9 | //# Software Foundation; either version 2 of the License, or (at your option)
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| 10 | //# any later version.
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| 11 | //#
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| 12 | //# This program is distributed in the hope that it will be useful, but
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| 13 | //# WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | //# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
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| 15 | //# Public License for more details.
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| 16 | //#
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| 17 | //# You should have received a copy of the GNU General Public License along
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| 18 | //# with this program; if not, write to the Free Software Foundation, Inc.,
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| 19 | //# 675 Massachusetts Ave, Cambridge, MA 02139, USA.
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| 20 | //#
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| 21 | //# Correspondence concerning this software should be addressed as follows:
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| 22 | //# Internet email: Malte.Marquarding@csiro.au
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| 23 | //# Postal address: Malte Marquarding,
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| 24 | //# Australia Telescope National Facility,
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| 25 | //# P.O. Box 76,
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| 26 | //# Epping, NSW, 2121,
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| 27 | //# AUSTRALIA
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| 28 | //#
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| 29 | //# $Id:
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| 30 | //#---------------------------------------------------------------------------
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| 31 |
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[125] | 32 | #include <casa/aips.h>
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[176] | 33 | #include <casa/Arrays/Vector.h>
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[1373] | 34 | #include <casa/Arrays/Slice.h>
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[137] | 35 | #include <casa/Arrays/MaskedArray.h>
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[136] | 36 | #include <casa/Arrays/MaskArrMath.h>
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[465] | 37 | #include <casa/Arrays/VectorSTLIterator.h>
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[136] | 38 | #include <casa/BasicSL/String.h>
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[1373] | 39 | #include <scimath/Mathematics/MedianSlider.h>
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[1819] | 40 | #include <casa/Exceptions/Error.h>
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[37] | 41 |
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[1570] | 42 | #include <scimath/Fitting/LinearFit.h>
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| 43 | #include <scimath/Functionals/Polynomial.h>
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| 44 | #include <scimath/Mathematics/AutoDiff.h>
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| 45 |
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[2258] | 46 | #include <ctime>
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| 47 | #include <sys/time.h>
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[1570] | 48 |
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[125] | 49 | #include "MathUtils.h"
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| 50 |
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| 51 | using namespace casa;
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| 52 |
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[829] | 53 | float mathutil::statistics(const String& which,
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[996] | 54 | const MaskedArray<Float>& data)
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[136] | 55 | {
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| 56 | String str(which);
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| 57 | str.upcase();
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[1819] | 58 | if (str.matches(String("MIN"))) {
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[829] | 59 | return min(data);
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[1819] | 60 | } else if (str.matches(String("MAX"))) {
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[136] | 61 | return max(data);
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[1819] | 62 | } else if (str.matches(String("SUMSQ"))) {
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[136] | 63 | return sumsquares(data);
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[1819] | 64 | } else if (str.matches(String("SUM"))) {
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[136] | 65 | return sum(data);
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[1819] | 66 | } else if (str.matches(String("MEAN"))) {
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[136] | 67 | return mean(data);
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[1819] | 68 | } else if (str.matches(String("VAR"))) {
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[829] | 69 | return variance(data);
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[1819] | 70 | } else if (str.matches(String("STDDEV"))) {
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[136] | 71 | return stddev(data);
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[1819] | 72 | } else if (str.matches(String("AVDEV"))) {
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[136] | 73 | return avdev(data);
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[1819] | 74 | } else if (str.matches(String("RMS"))) {
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[136] | 75 | uInt n = data.nelementsValid();
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| 76 | return sqrt(sumsquares(data)/n);
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[1819] | 77 | } else if (str.matches(String("MEDIAN"))) {
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[136] | 78 | return median(data);
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[1819] | 79 | } else {
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| 80 | String msg = str + " is not a valid type of statistics";
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| 81 | throw(AipsError(msg));
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| 82 | }
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[996] | 83 | return 0.0;
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[136] | 84 | }
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[176] | 85 |
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[1819] | 86 | IPosition mathutil::minMaxPos(const String& which,
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| 87 | const MaskedArray<Float>& data)
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| 88 | {
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| 89 | Float minVal, maxVal;
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| 90 | IPosition minPos(data.ndim(), 0), maxPos(data.ndim(), 0);
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| 91 | minMax(minVal, maxVal, minPos, maxPos, data);
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| 92 | String str(which);
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| 93 | str.upcase();
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| 94 | if (str.contains(String("MIN"))) {
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| 95 | return minPos;
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| 96 | } else if (str.contains(String("MAX"))) {
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| 97 | return maxPos;
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| 98 | } else {
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| 99 | String msg = str + " is not a valid type of statistics";
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| 100 | throw(AipsError(msg));
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| 101 | }
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| 102 | //return 0.0;
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| 103 | }
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[829] | 104 |
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[209] | 105 | void mathutil::replaceMaskByZero(Vector<Float>& data, const Vector<Bool>& mask)
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[176] | 106 | {
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| 107 | for (uInt i=0; i<data.nelements(); i++) {
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| 108 | if (!mask[i]) data[i] = 0.0;
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| 109 | }
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| 110 | }
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[382] | 111 |
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| 112 |
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[829] | 113 | std::vector<std::string> mathutil::tovectorstring(const Vector<String>& in)
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[382] | 114 | {
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[465] | 115 | std::vector<std::string> out;
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[1412] | 116 | out.reserve(in.nelements());
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| 117 | for (Array<String>::const_iterator it = in.begin(); it != in.end(); ++it) {
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[465] | 118 | out.push_back(*it);
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| 119 | }
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| 120 | return out;
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| 121 | }
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| 122 |
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[829] | 123 | Vector<String> mathutil::toVectorString(const std::vector<std::string>& in)
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[465] | 124 | {
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| 125 | Vector<String> out(in.size());
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[1412] | 126 | Array<String>::iterator oit = out.begin();
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| 127 | for (std::vector<std::string>::const_iterator it=in.begin() ;
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| 128 | it != in.end(); ++it,++oit) {
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| 129 | *oit = *it;
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[465] | 130 | }
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| 131 | return out;
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| 132 | }
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[1325] | 133 |
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| 134 | void mathutil::hanning(Vector<Float>& out, Vector<Bool>& outmask,
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| 135 | const Vector<Float>& in, const Vector<Bool>& mask,
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| 136 | Bool relaxed, Bool ignoreOther) {
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[2163] | 137 | (void) ignoreOther; //suppress unused warning
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[1325] | 138 | Vector< Vector<Float> > weights(8);
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| 139 | Vector<Float> vals(3);
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| 140 | vals = 0.0;weights[0] = vals;// FFF
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| 141 | vals[0] = 1.0; vals[1] = 0.0; vals[2] = 0.0; weights[1] = vals;// TFF
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| 142 | vals[0] = 0.0; vals[1] = 1.0; vals[2] = 0.0; weights[2] = vals;// FTF
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| 143 | vals[0] = 1.0/3.0; vals[1] = 2.0/3.0; vals[2] = 0.0; weights[3] = vals;// TTF
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| 144 | vals[0] = 0.0; vals[1] = 0.0; vals[2] = 1.0;weights[4] = vals;// FFT
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| 145 | vals[0] = 0.5; vals[1] = 0.0; vals[2] = 0.5; weights[5] = vals;// TFT
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| 146 | vals[0] = 0.0; vals[1] = 2.0/3.0; vals[2] = 1.0/3.0; weights[6] = vals;// FTT
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| 147 | vals[0] = 0.25; vals[1] = 0.5; vals[2] = 0.25; weights[7] = vals;// TTT
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| 148 | // Chris' case
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| 149 | Vector<Bool> weighted(8);
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| 150 | if (relaxed) {
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| 151 | weighted = False;
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| 152 | weighted[7] = True;
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| 153 |
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| 154 | } else {
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| 155 | weighted = True;
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| 156 | weighted[0] = False;
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| 157 | }
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| 158 |
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| 159 | out.resize(in.nelements());
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| 160 | outmask.resize(mask.nelements());
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| 161 | // make special case for first and last
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| 162 | /// ...here
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| 163 | // loop from 1..n-2
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| 164 | out.resize(in.nelements());
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| 165 | out[0] = in[0];out[out.nelements()-1] = in[in.nelements()-1];
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| 166 | outmask.resize(mask.nelements());
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[2125] | 167 | outmask[0] = mask[0]; outmask[outmask.nelements()-1] = mask[mask.nelements()-1];
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[1325] | 168 | uInt m;Vector<Float>* w;
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| 169 | for (uInt i=1; i < out.nelements()-1;++i) {
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| 170 | m = mask[i-1] + 2*mask[i] + 4*mask[i+1];
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| 171 | w = &(weights[m]);
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| 172 | if (weighted[m]) {
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| 173 | out[i] = (*w)[0]*in[i-1] + (*w)[1]*in[i] + (*w)[2]*in[i+1];
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| 174 | } else { // mask it
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| 175 | out[i] = in[i];//use arbitrary value
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| 176 | }
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[2125] | 177 | outmask[i] = mask[i];
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[1325] | 178 | }
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| 179 | }
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[1373] | 180 |
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| 181 |
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| 182 | void mathutil::runningMedian(Vector<Float>& out, Vector<Bool>& outflag,
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| 183 | const Vector<Float>& in, const Vector<Bool>& flag,
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| 184 | float width)
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| 185 | {
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[2163] | 186 | uInt hwidth = Int(width+0.5);
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| 187 | uInt fwidth = hwidth*2+1;
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[1373] | 188 | out.resize(in.nelements());
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| 189 | outflag.resize(flag.nelements());
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| 190 | MedianSlider ms(hwidth);
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| 191 | Slice sl(0, fwidth-1);
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[1570] | 192 | Float medval = ms.add(const_cast<Vector<Float>& >(in)(sl),
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[1373] | 193 | const_cast<Vector<Bool>& >(flag)(sl));
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[2163] | 194 | (void) medval;//suppress unused warning
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[1373] | 195 | uInt n = in.nelements();
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| 196 | for (uInt i=hwidth; i<(n-hwidth); ++i) {
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| 197 | // add data value
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[1570] | 198 | out[i] = ms.add(in[i+hwidth], flag[i+hwidth]);
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| 199 | outflag[i] = (ms.nval() == 0);
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[1373] | 200 | }
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[1570] | 201 | // replicate edge values from first value with full width of values
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[1373] | 202 | for (uInt i=0;i<hwidth;++i) {
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| 203 | out[i] = out[hwidth];
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[1570] | 204 | outflag[i] = outflag[hwidth];
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[1373] | 205 | out[n-1-i] = out[n-1-hwidth];
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[1570] | 206 | outflag[n-1-i] = outflag[n-1-hwidth];
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[1373] | 207 | }
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| 208 | }
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[1570] | 209 |
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| 210 | void mathutil::polyfit(Vector<Float>& out, Vector<Bool>& outmask,
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| 211 | const Vector<Float>& in, const Vector<Bool>& mask,
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| 212 | float width, int order)
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| 213 | {
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[2163] | 214 | uInt hwidth = Int(width+0.5);
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| 215 | uInt fwidth = hwidth*2+1;
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[1570] | 216 | out.resize(in.nelements());
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| 217 | outmask.resize(mask.nelements());
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| 218 | LinearFit<Float> fitter;
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| 219 | Polynomial<Float> poly(order);
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| 220 | fitter.setFunction(poly);
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| 221 | Vector<Float> sigma(fwidth);
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| 222 | sigma = 1.0;
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| 223 | Vector<Float> parms;
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| 224 | Vector<Float> x(fwidth);
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| 225 | indgen(x);
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| 226 |
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| 227 | uInt n = in.nelements();
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| 228 |
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| 229 | for (uInt i=hwidth; i<(n-hwidth); ++i) {
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| 230 | // add data value
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| 231 | if (mask[i]) {
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| 232 | Slice sl(i-hwidth, fwidth);
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| 233 | const Vector<Float> &y = const_cast<Vector<Float>& >(in)(sl);
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| 234 | const Vector<Bool> &m = const_cast<Vector<Bool>& >(mask)(sl);
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| 235 | parms = fitter.fit(x, y, sigma, &m);
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| 236 |
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| 237 | poly.setCoefficients(parms);
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| 238 | out[i] = poly(x[hwidth]);//cout << in[i] <<"->"<<out[i]<<endl;
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| 239 | } else {
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| 240 | out[i] = in[i];
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| 241 | }
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| 242 | outmask[i] = mask[i];
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| 243 | }
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| 244 | // replicate edge values from first value with full width of values
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| 245 | for (uInt i=0;i<hwidth;++i) {
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| 246 | out[i] = out[hwidth];
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| 247 | outmask[i] = outmask[hwidth];
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| 248 | out[n-1-i] = out[n-1-hwidth];
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| 249 | outmask[n-1-i] = outmask[n-1-hwidth];
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| 250 | }
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| 251 | }
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[2186] | 252 |
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| 253 | void mathutil::doZeroOrderInterpolation(casa::Vector<casa::Float>& data,
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| 254 | std::vector<bool>& mask) {
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| 255 | int fstart = -1;
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| 256 | int fend = -1;
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| 257 | for (uInt i = 0; i < mask.size(); ++i) {
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| 258 | if (!mask[i]) {
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| 259 | fstart = i;
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| 260 | while (!mask[i] && i < mask.size()) {
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| 261 | fend = i;
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| 262 | i++;
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| 263 | }
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| 264 | }
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| 265 |
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| 266 | // execute interpolation as the following criteria:
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| 267 | // (1) for a masked region inside the spectrum, replace the spectral
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| 268 | // values with the mean of those at the two channels just outside
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| 269 | // the both edges of the masked region.
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| 270 | // (2) for a masked region at the spectral edge, replace the values
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| 271 | // with the one at the nearest non-masked channel.
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| 272 | // (ZOH, but bilateral)
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| 273 | Float interp = 0.0;
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| 274 | if (fstart-1 > 0) {
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| 275 | interp = data[fstart-1];
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| 276 | if (fend+1 < Int(data.nelements())) {
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| 277 | interp = (interp + data[fend+1]) / 2.0;
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| 278 | }
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| 279 | } else {
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| 280 | interp = data[fend+1];
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| 281 | }
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| 282 | if (fstart > -1 && fend > -1) {
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| 283 | for (int j = fstart; j <= fend; ++j) {
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| 284 | data[j] = interp;
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| 285 | }
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| 286 | }
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| 287 |
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| 288 | fstart = -1;
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| 289 | fend = -1;
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| 290 | }
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[2258] | 291 |
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[2186] | 292 | }
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[2258] | 293 |
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| 294 | double mathutil::gettimeofday_sec()
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| 295 | {
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| 296 | struct timeval tv ;
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| 297 | gettimeofday( &tv, NULL ) ;
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| 298 | return tv.tv_sec + (double)tv.tv_usec*1.0e-6 ;
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| 299 | }
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