comparison base/ColumnOp.h @ 1187:fd40a5335968 spectrogram-minor-refactor

Pull out column ops into ColumnOp

+/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
+
+/*
+    Sonic Visualiser
+    An audio file viewer and annotation editor.
+    Centre for Digital Music, Queen Mary, University of London.
+    This file copyright 2006 Chris Cannam and QMUL.
+    
+    This program 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 2 of the
+    License, or (at your option) any later version.  See the file
+    COPYING included with this distribution for more information.
+*/
+
+#ifndef COLUMN_OP_H
+#define COLUMN_OP_H
+
+#include "BaseTypes.h"
+
+#include <cmath>
+
+class ColumnOp
+{
+public:
+    typedef std::vector<float> Column;
+
+    enum Normalization {
+        NoNormalization,
+        NormalizeColumns,
+        NormalizeVisibleArea,
+        NormalizeHybrid
+    };
+
+    static Column fftScale(const Column &in, int fftSize) {
+	
+	Column out;
+	out.reserve(in.size());
+	float scale = 2.f / float(fftSize);
+	for (auto v: in) {
+	    out.push_back(v * scale);
+	}
+	
+	return out;
+    }
+
+    static bool isPeak(const Column &in, int ix) {
+	
+	if (!in_range_for(in, ix-1)) return false;
+	if (!in_range_for(in, ix+1)) return false;
+	if (in[ix] < in[ix+1]) return false;
+	if (in[ix] < in[ix-1]) return false;
+	
+	return true;
+    }
+
+    static Column peakPick(const Column &in) {
+	
+	std::vector<float> out(in.size(), 0.f);
+	for (int i = 0; in_range_for(in, i); ++i) {
+	    if (isPeak(in, i)) {
+		out[i] = in[i];
+	    }
+	}
+	
+	return out;
+    }
+
+    static Column normalize(const Column &in, Normalization n) {
+
+	if (n == NoNormalization || n == NormalizeVisibleArea) {
+	    return in;
+	}
+	
+	float max = *max_element(in.begin(), in.end());
+
+	if (n == NormalizeColumns && max == 0.f) {
+	    return in;
+	}
+
+	if (n == NormalizeHybrid && max <= 0.f) {
+	    return in;
+	}
+    
+	std::vector<float> out;
+	out.reserve(in.size());
+
+	float scale;
+	if (n == NormalizeHybrid) {
+	    scale = log10f(max + 1.f) / max;
+	} else {
+	    scale = 1.f / max;
+	}
+    
+	for (auto v: in) {
+	    out.push_back(v * scale);
+	}
+	return out;
+    }
+
+    static Column applyGain(const Column &in, float gain) {
+	
+	if (gain == 1.f) {
+	    return in;
+	}
+	Column out;
+	out.reserve(in.size());
+	for (auto v: in) {
+	    out.push_back(v * gain);
+	}
+	return out;
+    }
+
+    static Column distribute(const Column &in,
+			     int h,
+			     const std::vector<double> &binfory,
+			     int minbin,
+			     bool interpolate) {
+	
+	std::vector<float> out(h, 0.f);
+	int bins = int(in.size());
+
+	for (int y = 0; y < h; ++y) {
+        
+	    double sy0 = binfory[y] - minbin;
+	    double sy1 = sy0 + 1;
+	    if (y+1 < h) {
+		sy1 = binfory[y+1] - minbin;
+	    }
+        
+	    if (interpolate && fabs(sy1 - sy0) < 1.0) {
+            
+		double centre = (sy0 + sy1) / 2;
+		double dist = (centre - 0.5) - rint(centre - 0.5);
+		int bin = int(centre);
+
+		int other = (dist < 0 ? (bin-1) : (bin+1));
+
+		if (bin < 0) bin = 0;
+		if (bin >= bins) bin = bins-1;
+
+		if (other < 0 || other >= bins) {
+		    other = bin;
+		}
+
+		double prop = 1.0 - fabs(dist);
+
+		double v0 = in[bin];
+		double v1 = in[other];
+                
+		out[y] = float(prop * v0 + (1.0 - prop) * v1);
+
+	    } else { // not interpolating this one
+
+		int by0 = int(sy0 + 0.0001);
+		int by1 = int(sy1 + 0.0001);
+		if (by1 < by0 + 1) by1 = by0 + 1;
+
+		for (int bin = by0; bin < by1; ++bin) {
+
+		    float value = in[bin];
+
+		    if (value > out[y]) {
+			out[y] = value;
+		    }
+		}
+	    }
+	}
+
+	return out;
+    }
+
+};
+
+#endif
+