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			135 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			135 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #ifndef INCLUDE_BANDPASS_H
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| #define INCLUDE_BANDPASS_H
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| 
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| #define _USE_MATH_DEFINES
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| #include <math.h>
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| #include "dsp/dsptypes.h"
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| 
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| // #undef M_PI
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| // #define M_PI 3.14159265358979323846
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| 
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| template <class Type> class Bandpass {
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| public:
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| 	Bandpass() : m_ptr(0) { }
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| 
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| 	void create(int nTaps, double sampleRate, double lowCutoff, double highCutoff)
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| 	{
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| 		std::vector<Real> taps_lp;
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| 		std::vector<Real> taps_hp;
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| 		double wcl = 2.0 * M_PI * lowCutoff;
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| 		double Wcl = wcl / sampleRate;
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| 		double wch = 2.0 * M_PI * highCutoff;
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| 		double Wch = wch / sampleRate;
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| 		int i;
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| 
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| 		// check constraints
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| 		if (!(nTaps & 1))
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| 		{
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| 			qDebug("Bandpass filter has to have an odd number of taps");
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| 			nTaps++;
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| 		}
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| 
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| 		// make room
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| 		m_samples.resize(nTaps);
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| 
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| 		for (int i = 0; i < nTaps; i++) {
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| 			m_samples[i] = 0;
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| 		}
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| 
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| 		m_ptr = 0;
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| 		m_taps.resize(nTaps / 2 + 1);
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| 		taps_lp.resize(nTaps / 2 + 1);
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| 		taps_hp.resize(nTaps / 2 + 1);
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| 
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| 		// generate Sinc filter core
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| 		for (i = 0; i < nTaps / 2 + 1; i++)
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| 		{
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| 			if (i == (nTaps - 1) / 2)
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| 			{
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| 				taps_lp[i] = Wch / M_PI;
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| 				taps_hp[i] = -(Wcl / M_PI);
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| 			}
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| 			else
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| 			{
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| 				taps_lp[i] = sin(((double)i - ((double)nTaps - 1.0) / 2.0) * Wch) / (((double)i - ((double)nTaps - 1.0) / 2.0) * M_PI);
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| 				taps_hp[i] = -sin(((double)i - ((double)nTaps - 1.0) / 2.0) * Wcl) / (((double)i - ((double)nTaps - 1.0) / 2.0) * M_PI);
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| 			}
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| 		}
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| 
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| 		taps_hp[(nTaps - 1) / 2] += 1;
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| 
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| 		// apply Hamming window and combine lowpass and highpass
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| 		for (i = 0; i < nTaps / 2 + 1; i++)
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| 		{
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| 			taps_lp[i] *= 0.54 + 0.46 * cos((2.0 * M_PI * ((double)i - ((double)nTaps - 1.0) / 2.0)) / (double)nTaps);
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| 			taps_hp[i] *= 0.54 + 0.46 * cos((2.0 * M_PI * ((double)i - ((double)nTaps - 1.0) / 2.0)) / (double)nTaps);
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| 			m_taps[i] = -(taps_lp[i]+taps_hp[i]);
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| 		}
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| 
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| 		m_taps[(nTaps - 1) / 2] += 1;
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| 
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| 		// normalize
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| 		Real sum = 0;
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| 
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| 		for (i = 0; i < (int)m_taps.size() - 1; i++) {
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| 			sum += m_taps[i] * 2;
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| 		}
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| 
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| 		sum += m_taps[i] - 1;
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| 
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| 		for (i = 0; i < (int)m_taps.size(); i++) {
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| 			m_taps[i] /= sum;
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| 		}
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| 	}
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| 
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| 	Type filter(Type sample)
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| 	{
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| 		Type acc = 0;
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| 		int a = m_ptr;
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| 		int b = a - 1;
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| 		int i, n_taps, size;
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| 
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| 		m_samples[m_ptr] = sample;
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| 		size = m_samples.size(); // Valgrind optim (2)
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| 
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| 		while (b < 0) {
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| 			b += size;
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| 		}
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| 
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| 		n_taps = m_taps.size() - 1; // Valgrind optim
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| 
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| 		for(i = 0; i < n_taps; i++)
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| 		{
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| 			acc += (m_samples[a] + m_samples[b]) * m_taps[i];
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| 			a++;
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| 
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| 			while (a >= size) {
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| 				a -= size;
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| 			}
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| 
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| 			b--;
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| 
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| 			while(b < 0) {
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| 				b += size;
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| 			}
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| 		}
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| 
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| 		acc += m_samples[a] * m_taps[i];
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| 
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| 		m_ptr++;
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| 
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| 		while (m_ptr >= size) {
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| 			m_ptr -= size;
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| 		}
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| 
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| 		return acc;
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| 	}
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| 
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| private:
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| 	std::vector<Real> m_taps;
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| 	std::vector<Type> m_samples;
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| 	int m_ptr;
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| };
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| 
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| #endif // INCLUDE_BANDPASS_H
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