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1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
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2
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3 /*
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4 Sonic Visualiser
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5 An audio file viewer and annotation editor.
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6 Centre for Digital Music, Queen Mary, University of London.
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7 This file copyright 2006 Chris Cannam.
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8
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9 This program is free software; you can redistribute it and/or
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10 modify it under the terms of the GNU General Public License as
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11 published by the Free Software Foundation; either version 2 of the
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12 License, or (at your option) any later version. See the file
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13 COPYING included with this distribution for more information.
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14 */
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15
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16 #ifndef FFT_MODEL_H
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17 #define FFT_MODEL_H
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18
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19 #include "data/fft/FFTDataServer.h"
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20 #include "DenseThreeDimensionalModel.h"
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21
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22 #include <set>
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23 #include <map>
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24
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25 /**
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26 * An implementation of DenseThreeDimensionalModel that makes FFT data
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27 * derived from a DenseTimeValueModel available as a generic data
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28 * grid. The FFT data is acquired using FFTDataServer. Note that any
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29 * of the accessor functions may throw AllocationFailed if a cache
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30 * resize fails.
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31 */
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32
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33 class FFTModel : public DenseThreeDimensionalModel
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34 {
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35 Q_OBJECT
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36
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37 public:
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38 /**
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39 * Construct an FFT model derived from the given
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40 * DenseTimeValueModel, with the given window parameters and FFT
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41 * size (which may exceed the window size, for zero-padded FFTs).
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42 *
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43 * If the model has multiple channels use only the given channel,
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44 * unless the channel is -1 in which case merge all available
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45 * channels.
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46 *
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47 * If polar is true, the data will normally be retrieved from the
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48 * FFT model in magnitude/phase form; otherwise it will normally
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49 * be retrieved in "cartesian" real/imaginary form. The results
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50 * should be the same either way, but a "polar" model addressed in
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51 * "cartesian" form or vice versa may suffer a performance
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52 * penalty.
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53 *
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54 * The fillFromColumn argument gives a hint that the FFT data
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55 * server should aim to start calculating FFT data at that column
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56 * number if possible, as that is likely to be requested first.
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57 */
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58 FFTModel(const DenseTimeValueModel *model,
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59 int channel,
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60 WindowType windowType,
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61 int windowSize,
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62 int windowIncrement,
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63 int fftSize,
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64 bool polar,
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65 StorageAdviser::Criteria criteria = StorageAdviser::NoCriteria,
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66 sv_frame_t fillFromFrame = 0);
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67 ~FFTModel();
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68
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69 inline float getMagnitudeAt(int x, int y) {
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70 return m_server->getMagnitudeAt(x << m_xshift, y << m_yshift);
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71 }
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72 inline float getNormalizedMagnitudeAt(int x, int y) {
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73 return m_server->getNormalizedMagnitudeAt(x << m_xshift, y << m_yshift);
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74 }
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75 inline float getMaximumMagnitudeAt(int x) {
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76 return m_server->getMaximumMagnitudeAt(x << m_xshift);
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77 }
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78 inline float getPhaseAt(int x, int y) {
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79 return m_server->getPhaseAt(x << m_xshift, y << m_yshift);
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80 }
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81 inline void getValuesAt(int x, int y, float &real, float &imaginary) {
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82 m_server->getValuesAt(x << m_xshift, y << m_yshift, real, imaginary);
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83 }
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84 inline bool isColumnAvailable(int x) const {
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85 return m_server->isColumnReady(x << m_xshift);
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86 }
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87
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88 inline bool getMagnitudesAt(int x, float *values, int minbin = 0, int count = 0) {
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89 return m_server->getMagnitudesAt(x << m_xshift, values, minbin << m_yshift, count, getYRatio());
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90 }
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91 inline bool getNormalizedMagnitudesAt(int x, float *values, int minbin = 0, int count = 0) {
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92 return m_server->getNormalizedMagnitudesAt(x << m_xshift, values, minbin << m_yshift, count, getYRatio());
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93 }
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94 inline bool getPhasesAt(int x, float *values, int minbin = 0, int count = 0) {
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95 return m_server->getPhasesAt(x << m_xshift, values, minbin << m_yshift, count, getYRatio());
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96 }
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97 inline bool getValuesAt(int x, float *reals, float *imaginaries, int minbin = 0, int count = 0) {
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98 return m_server->getValuesAt(x << m_xshift, reals, imaginaries, minbin << m_yshift, count, getYRatio());
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99 }
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100
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101 inline sv_frame_t getFillExtent() const { return m_server->getFillExtent(); }
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102
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103 // DenseThreeDimensionalModel and Model methods:
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104 //
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105 inline virtual int getWidth() const {
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106 return m_server->getWidth() >> m_xshift;
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107 }
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108 inline virtual int getHeight() const {
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109 // If there is no y-shift, the server's height (based on its
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110 // fftsize/2 + 1) is correct. If there is a shift, then the
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111 // server is using a larger fft size than we want, so we shift
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112 // it right as many times as necessary, but then we need to
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113 // re-add the "+1" part (because ((fftsize*2)/2 + 1) / 2 !=
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114 // fftsize/2 + 1).
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115 return (m_server->getHeight() >> m_yshift) + (m_yshift > 0 ? 1 : 0);
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116 }
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117 virtual float getValueAt(int x, int y) const {
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118 return const_cast<FFTModel *>(this)->getMagnitudeAt(x, y);
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119 }
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120 virtual bool isOK() const {
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121 // Return true if the model was constructed successfully (not
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122 // necessarily whether an error has occurred since
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123 // construction, use getError for that)
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124 return m_server && m_server->getModel();
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125 }
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126 virtual sv_frame_t getStartFrame() const {
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127 return 0;
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128 }
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129 virtual sv_frame_t getEndFrame() const {
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130 return sv_frame_t(getWidth()) * getResolution() + getResolution();
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131 }
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132 virtual sv_samplerate_t getSampleRate() const;
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133 virtual int getResolution() const {
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134 return m_server->getWindowIncrement() << m_xshift;
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135 }
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136 virtual int getYBinCount() const {
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137 return getHeight();
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138 }
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139 virtual float getMinimumLevel() const {
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140 return 0.f; // Can't provide
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141 }
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142 virtual float getMaximumLevel() const {
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143 return 1.f; // Can't provide
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144 }
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145 virtual Column getColumn(int x) const;
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146 virtual QString getBinName(int n) const;
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147
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148 virtual bool shouldUseLogValueScale() const {
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149 return true; // Although obviously it's up to the user...
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150 }
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151
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152 /**
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153 * Calculate an estimated frequency for a stable signal in this
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154 * bin, using phase unwrapping. This will be completely wrong if
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155 * the signal is not stable here.
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156 */
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157 virtual bool estimateStableFrequency(int x, int y, double &frequency);
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158
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159 enum PeakPickType
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160 {
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161 AllPeaks, /// Any bin exceeding its immediate neighbours
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162 MajorPeaks, /// Peaks picked using sliding median window
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163 MajorPitchAdaptivePeaks /// Bigger window for higher frequencies
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164 };
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165
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166 typedef std::set<int> PeakLocationSet; // bin
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167 typedef std::map<int, double> PeakSet; // bin -> freq
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168
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169 /**
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170 * Return locations of peak bins in the range [ymin,ymax]. If
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171 * ymax is zero, getHeight()-1 will be used.
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172 */
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173 virtual PeakLocationSet getPeaks(PeakPickType type, int x,
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174 int ymin = 0, int ymax = 0);
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175
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176 /**
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177 * Return locations and estimated stable frequencies of peak bins.
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178 */
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179 virtual PeakSet getPeakFrequencies(PeakPickType type, int x,
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180 int ymin = 0, int ymax = 0);
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181
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182 virtual int getCompletion() const { return m_server->getFillCompletion(); }
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183 virtual QString getError() const { return m_server->getError(); }
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184
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185 virtual void suspend() { m_server->suspend(); }
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186 virtual void suspendWrites() { m_server->suspendWrites(); }
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187 virtual void resume() { m_server->resume(); }
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188
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189 QString getTypeName() const { return tr("FFT"); }
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190
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191 public slots:
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192 void sourceModelAboutToBeDeleted();
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193
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194 private:
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195 FFTModel(const FFTModel &); // not implemented
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196 FFTModel &operator=(const FFTModel &); // not implemented
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197
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198 FFTDataServer *m_server;
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199 int m_xshift;
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200 int m_yshift;
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201
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202 FFTDataServer *getServer(const DenseTimeValueModel *,
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203 int, WindowType, int, int, int,
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204 bool, StorageAdviser::Criteria, sv_frame_t);
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205
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206 int getPeakPickWindowSize(PeakPickType type, sv_samplerate_t sampleRate,
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207 int bin, float &percentile) const;
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208
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209 int getYRatio() {
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210 int ys = m_yshift;
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211 int r = 1;
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212 while (ys) { --ys; r <<= 1; }
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213 return r;
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214 }
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215 };
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216
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217 #endif
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