mirror of https://github.com/EspoTek/Labrador.git
153 lines
4.0 KiB
C++
153 lines
4.0 KiB
C++
#include "asyncdft.h"
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#include <iostream>
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#include <math.h>
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#include "isobuffer.h"
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#define DBG 0
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AsyncDFT::AsyncDFT()
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{
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/*Creating the main thread, which will manage everything*/
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stopping = false;
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/*Data is not valid until we get n_samples into the window*/
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data_valid = false;
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/*Samples counter*/
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samples_count=0;
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/*Initializing time domain window to 0s*/
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/*FFTW3 inits*/
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fftw_init_threads();
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fftw_plan_with_nthreads(omp_get_max_threads() * 2);
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#if DBG
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std::cout << "Starting with " << omp_get_max_threads() << "threads" << std::endl;
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#endif
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out_buffer = fftw_alloc_complex(n_samples);
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plan = fftw_plan_dft_r2c_1d(n_samples,in_buffer, out_buffer,0);
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}
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AsyncDFT::~AsyncDFT()
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{
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#if DBG
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stopping = true;
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mtx_samples.unlock(); //Unlock thread manager if blocked and waiting for more samples
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while (!manager.joinable());
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manager.join();
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std::cout << "Joined manager thread [DESTRUCTOR]" << std::endl;
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#endif
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}
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void AsyncDFT::threadManager()
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{
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while(stopping == false) {
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/*Calculating DFT if there are new samples, otherwise DFT would be the same*/
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if (samples_count >= n_samples) {
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mtx_samples.lock();
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if (!window.empty()) {
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window.pop_front();
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}
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short tmp = pending_samples.front();
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pending_samples.pop();
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window.push_back(tmp);
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/*Data is now valid*/
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data_valid = true;
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mtx_samples.unlock();
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}
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}
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}
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void AsyncDFT::addSample(short sample)
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{
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/*Adding to the waiting jobs the sample*/
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if (samples_count >= n_samples) {
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/*Shifting window by 1 by removing first element and adding an element to the end*/
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window.pop_front();
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window.push_back(sample);
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samples_count = n_samples;
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data_valid = true;
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} else {
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/*Fill the window*/
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window.push_back(sample);
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}
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/*Updating the number of samples*/
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samples_count++;
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}
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QVector<double> AsyncDFT::getPowerSpectrum(QVector<double> input)
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{
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/*Before doing anything, check if sliding DFT is computable*/
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if (data_valid == false) {
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throw std::exception();
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}
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for(int i = 0; i < n_samples; i++) {
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in_buffer[i] = input[i];
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}
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/*Zero-padding for better resolution of DFT*/
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QVector<double> amplitude(n_samples/2+1,0);
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maximum = -1;
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/*Executing FFTW plan*/
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fftw_execute(plan);
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amplitude[0] = sqrt(out_buffer[0][0]*out_buffer[0][0] + out_buffer[0][1]*out_buffer[0][1]); /* DC component */
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maximum = (amplitude[0] > maximum ) ? amplitude[0] : maximum;
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for (int k = 1; k < (n_samples+1)/2; ++k) { /* (k < N/2 rounded up) */
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amplitude[k] = sqrt(out_buffer[k][0]*out_buffer[k][0] + out_buffer[k][1]*out_buffer[k][1]);
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maximum = (amplitude[k] > maximum ) ? amplitude[k] : maximum;
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}
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if (n_samples % 2 == 0) { /* N is even */
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amplitude[n_samples/2] = sqrt(out_buffer[n_samples/2][0]*out_buffer[n_samples/2][0]); /* Nyquist freq. */
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maximum = (amplitude[n_samples/2] > maximum ) ? amplitude[n_samples/2] : maximum;
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}
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return amplitude;
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}
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QVector<double> AsyncDFT::getFrequenciyWindow(int samplesPerSeconds)
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{
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double delta_freq = ((double) samplesPerSeconds)/ ((double) n_samples);
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QVector<double> f(n_samples/2 + 1);
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for (int i = 0; i < n_samples/2 + 1; i++) {
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f[i] = i*delta_freq;
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}
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return f;
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}
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std::unique_ptr<short[]> AsyncDFT::getWindow()
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{
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std::unique_ptr<short[]> readData = std::make_unique<short[]>(n_samples);
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int i = 0;
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for (auto& item : window) {
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readData[i] = item;
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i++;
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}
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return readData;
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}
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QVector<double> AsyncDFT::normalizeDFT(double e_maximum, QVector<double> dft)
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{
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double u_maximum;
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/*Normalize with the greater maximum*/
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if (this->maximum > e_maximum) {
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u_maximum = this->maximum;
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} else {
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u_maximum = e_maximum;
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}
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for(int i=0; i < dft.size(); i++) {
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dft[i] /= u_maximum;
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dft[i] *= 100;
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}
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return dft;
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}
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