| 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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| 5 | //# ATNF
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| 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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| 32 | #include <casa/aips.h>
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| 33 | #include <casa/Arrays/Vector.h>
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| 34 | #include <casa/Arrays/VectorSTLIterator.h>
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| 35 | #include <casa/Arrays/MaskArrMath.h>
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| 36 | #include <casa/BasicSL/String.h>
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| 37 |
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| 38 | #include "MathUtils.h"
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| 39 |
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| 40 | using namespace casa;
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| 41 | //using namespace asap;
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| 42 |
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| 43 | template <class T>
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| 44 | void mathutil::hanning(Vector<T>& out, Vector<Bool>& outmask,
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| 45 | const Vector<T>& in, const Vector<Bool>& mask,
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| 46 | Bool relaxed, Bool ignoreOther) {
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| 47 |
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| 48 | Vector< Vector<T> > weights(8);
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| 49 | Vector<Float> vals(3);
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| 50 | vals = 0.0;weights[0] = vals;// FFF
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| 51 | vals[0] = 1.0; vals[1] = 0.0; vals[2] = 0.0; weights[1] = vals;// TFF
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| 52 | vals[0] = 0.0; vals[1] = 1.0; vals[2] = 0.0; weights[2] = vals;// FTF
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| 53 | vals[0] = 1.0/3.0; vals[1] = 2.0/3.0; vals[2] = 0.0; weights[3] = vals;// TTF
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| 54 | vals[0] = 0.0; vals[1] = 0.0; vals[2] = 1.0;weights[4] = vals;// FFT
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| 55 | vals[0] = 0.5; vals[1] = 0.0; vals[2] = 0.5; weights[5] = vals;// TFT
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| 56 | vals[0] = 0.0; vals[1] = 2.0/3.0; vals[2] = 1.0/3.0; weights[6] = vals;// FTT
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| 57 | vals[0] = 0.25; vals[1] = 0.5; vals[2] = 0.25; weights[7] = vals;// TTT
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| 58 | // Chris' case
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| 59 | Vector<Bool> weighted(8);
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| 60 | if (relaxed) {
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| 61 | weighted = False;
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| 62 | weighted[7] = True;
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| 63 |
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| 64 | } else {
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| 65 | weighted = True;
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| 66 | weighted[0] = False;
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| 67 | }
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| 68 |
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| 69 | out.resize(in.nelements());
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| 70 | outmask.resize(mask.nelements());
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| 71 |
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| 72 | // make special case for first and last
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| 73 | /// ...here
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| 74 | // loop from 1..n-2
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| 75 | uInt i = 1;
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| 76 | VectorSTLIterator<T> outit(out);
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| 77 | outit++;
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| 78 | VectorSTLIterator<Bool> outmit(outmask);outmit++;
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| 79 | uInt m;Vector<T>* w;
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| 80 | for (VectorSTLIterator<T> it = outit;it != out.end()-1;++it) {
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| 81 |
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| 82 | m = mask[i-1] + 2*mask[i] + 4*mask[i+1];
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| 83 | w = &(weights[m]);
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| 84 | if (weighted[m]) {
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| 85 | (*it) = (*w)[0]*in[i-1] + (*w)[1]*in[i] + (*w)[2]*in[i+1];
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| 86 | (*outmit) = True;
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| 87 | } else { // mask it
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| 88 | (*outmit) = False;
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| 89 | }
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| 90 | ++i;
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| 91 | ++outmit;
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| 92 | }
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| 93 | }
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| 94 |
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| 95 |
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| 96 | float mathutil::statistics (const std::string& which, const MaskedArray<Float>& data)
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| 97 | {
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| 98 | String str(which);
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| 99 | str.upcase();
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| 100 | if (str.contains(String("MIN"))) {
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| 101 | return min(data);
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| 102 | } else if (str.contains(String("MAX"))) {
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| 103 | return max(data);
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| 104 | } else if (str.contains(String("SUMSQ"))) {
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| 105 | return sumsquares(data);
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| 106 | } else if (str.contains(String("SUM"))) {
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| 107 | return sum(data);
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| 108 | } else if (str.contains(String("MEAN"))) {
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| 109 | return mean(data);
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| 110 | } else if (str.contains(String("VAR"))) {
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| 111 | return variance(data);
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| 112 | } else if (str.contains(String("STDDEV"))) {
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| 113 | return stddev(data);
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| 114 | } else if (str.contains(String("AVDEV"))) {
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| 115 | return avdev(data);
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| 116 | } else if (str.contains(String("RMS"))) {
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| 117 | uInt n = data.nelementsValid();
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| 118 | return sqrt(sumsquares(data)/n);
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| 119 | } else if (str.contains(String("MED"))) {
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| 120 | return median(data);
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| 121 | }
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| 122 | }
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| 123 |
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