annotate base/ColumnOp.h @ 1459:3a128665fa6f horizontal-scale

Fixes to logarithmic scale tick intervals. The approach here is not right, though -- and I've left in a failing test or two to remind me of that
author Chris Cannam
date Wed, 02 May 2018 14:17:10 +0100
parents 48e9f538e6e9
children 1b688ab5f1b3
rev   line source
Chris@1187 1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
Chris@1187 2
Chris@1187 3 /*
Chris@1187 4 Sonic Visualiser
Chris@1187 5 An audio file viewer and annotation editor.
Chris@1187 6 Centre for Digital Music, Queen Mary, University of London.
Chris@1188 7 This file copyright 2006-2016 Chris Cannam and QMUL.
Chris@1187 8
Chris@1187 9 This program is free software; you can redistribute it and/or
Chris@1187 10 modify it under the terms of the GNU General Public License as
Chris@1187 11 published by the Free Software Foundation; either version 2 of the
Chris@1187 12 License, or (at your option) any later version. See the file
Chris@1187 13 COPYING included with this distribution for more information.
Chris@1187 14 */
Chris@1187 15
Chris@1187 16 #ifndef COLUMN_OP_H
Chris@1187 17 #define COLUMN_OP_H
Chris@1187 18
Chris@1187 19 #include "BaseTypes.h"
Chris@1187 20
Chris@1265 21 #include <vector>
Chris@1187 22
Chris@1190 23 /**
Chris@1193 24 * Display normalization types for columns in e.g. grid plots.
Chris@1193 25 *
Chris@1193 26 * Max1 means to normalize to max value = 1.0.
Chris@1193 27 * Sum1 means to normalize to sum of values = 1.0.
Chris@1193 28 *
Chris@1394 29 * Range01 means to normalize such that the max value = 1.0 and the
Chris@1394 30 * min value (if different from the max value) = 0.0.
Chris@1394 31 *
Chris@1193 32 * Hybrid means normalize to max = 1.0 and then multiply by
Chris@1193 33 * log10 of the max value, to retain some difference between
Chris@1193 34 * levels of neighbouring columns.
Chris@1193 35 *
Chris@1193 36 * Area normalization is handled separately.
Chris@1193 37 */
Chris@1193 38 enum class ColumnNormalization {
Chris@1193 39 None,
Chris@1193 40 Max1,
Chris@1193 41 Sum1,
Chris@1394 42 Range01,
Chris@1193 43 Hybrid
Chris@1193 44 };
Chris@1193 45
Chris@1193 46 /**
Chris@1190 47 * Class containing static functions for simple operations on data
Chris@1190 48 * columns, for use by display layers.
Chris@1190 49 */
Chris@1187 50 class ColumnOp
Chris@1187 51 {
Chris@1187 52 public:
Chris@1190 53 /**
Chris@1190 54 * Column type.
Chris@1190 55 */
Chris@1187 56 typedef std::vector<float> Column;
Chris@1187 57
Chris@1190 58 /**
Chris@1195 59 * Scale the given column using the given gain multiplier.
Chris@1195 60 */
Chris@1197 61 static Column applyGain(const Column &in, double gain) {
Chris@1266 62 if (gain == 1.0) return in;
Chris@1429 63 Column out;
Chris@1429 64 out.reserve(in.size());
Chris@1429 65 for (auto v: in) out.push_back(float(v * gain));
Chris@1429 66 return out;
Chris@1195 67 }
Chris@1195 68
Chris@1195 69 /**
Chris@1394 70 * Shift the values in the given column by the given offset.
Chris@1394 71 */
Chris@1394 72 static Column applyShift(const Column &in, float offset) {
Chris@1394 73 if (offset == 0.f) return in;
Chris@1429 74 Column out;
Chris@1429 75 out.reserve(in.size());
Chris@1429 76 for (auto v: in) out.push_back(v + offset);
Chris@1429 77 return out;
Chris@1394 78 }
Chris@1394 79
Chris@1394 80 /**
Chris@1265 81 * Scale an FFT output downward by half the FFT size.
Chris@1190 82 */
Chris@1266 83 static Column fftScale(const Column &in, int fftSize);
Chris@1187 84
Chris@1190 85 /**
Chris@1190 86 * Determine whether an index points to a local peak.
Chris@1190 87 */
Chris@1187 88 static bool isPeak(const Column &in, int ix) {
Chris@1265 89 if (!in_range_for(in, ix)) {
Chris@1265 90 return false;
Chris@1265 91 }
Chris@1265 92 if (ix == 0) {
Chris@1265 93 return in[0] >= in[1];
Chris@1265 94 }
Chris@1265 95 if (!in_range_for(in, ix+1)) {
Chris@1265 96 return in[ix] > in[ix-1];
Chris@1265 97 }
Chris@1429 98 if (in[ix] < in[ix+1]) {
Chris@1265 99 return false;
Chris@1265 100 }
Chris@1429 101 if (in[ix] <= in[ix-1]) {
Chris@1265 102 return false;
Chris@1265 103 }
Chris@1429 104 return true;
Chris@1187 105 }
Chris@1187 106
Chris@1190 107 /**
Chris@1190 108 * Return a column containing only the local peak values (all
Chris@1190 109 * others zero).
Chris@1190 110 */
Chris@1266 111 static Column peakPick(const Column &in);
Chris@1187 112
Chris@1190 113 /**
Chris@1190 114 * Return a column normalized from the input column according to
Chris@1190 115 * the given normalization scheme.
Chris@1266 116 *
Chris@1266 117 * Note that the sum or max (as appropriate) used for
Chris@1266 118 * normalisation will be calculated from the absolute values of
Chris@1266 119 * the column elements, should any of them be negative.
Chris@1190 120 */
Chris@1266 121 static Column normalize(const Column &in, ColumnNormalization n);
Chris@1266 122
Chris@1190 123 /**
Chris@1190 124 * Distribute the given column into a target vector of a different
Chris@1190 125 * size, optionally using linear interpolation. The binfory vector
Chris@1190 126 * contains a mapping from y coordinate (i.e. index into the
Chris@1265 127 * target vector) to bin (i.e. index into the source column). The
Chris@1265 128 * source column ("in") may be a partial column; it's assumed to
Chris@1265 129 * contain enough bins to span the destination range, starting
Chris@1265 130 * with the bin of index minbin.
Chris@1190 131 */
Chris@1187 132 static Column distribute(const Column &in,
Chris@1429 133 int h,
Chris@1429 134 const std::vector<double> &binfory,
Chris@1429 135 int minbin,
Chris@1429 136 bool interpolate);
Chris@1187 137
Chris@1187 138 };
Chris@1187 139
Chris@1187 140 #endif
Chris@1187 141