Finalisation de l'algorithme de calcul de la FFT
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37fcd07631
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2 changed files with 56 additions and 16 deletions
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@ -1,13 +1,50 @@
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#include <math.hpp>
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#include <math.hpp>
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#include <cmath>
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#include <cmath>
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#include <fstream>
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#include <ctime>
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void create_plot_file(std::string filename, const math::csignal& tfd) {
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std::ofstream data_file(filename + ".data");
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for (int i=0; i<tfd.size(); ++i) {
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data_file << tfd[i].real()
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<< " "
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<< tfd[i].imag()
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<< std::endl;
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}
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data_file.close();
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}
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int main(int argc, char** argv) {
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int main(int argc, char** argv) {
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math::csignal s;
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math::csignal s;
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double fe = 6000;
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double f0 = 400;
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int n = 30;
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if (argc > 1) {
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n = atoi(argv[1]);
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}
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for (int i=0; i<100; ++i) {
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for (int i=0; i<100; ++i) {
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s.push_back(std::sin(2*math::pi()*50*i/100));
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s.push_back(math::complex(std::sin(2*math::pi()*f0*float(i)/fe), 0));
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}
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}
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math::csignal tfd = math::fft(s);
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math::csignal tfd;
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clock_t begin = std::clock();
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for (int i=0; i<n; ++i) {
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tfd = math::fft(s, 2000);
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}
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clock_t end = clock();
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std::cout << "Time to compute " << n << " fft: "<< double(end-begin) / CLOCKS_PER_SEC << std::endl;
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std::cout << "Average time: " << double(end-begin) / CLOCKS_PER_SEC / n << std::endl;
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math::csignal mod;
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for (int i=0; i<tfd.size(); ++i) {
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double R = tfd[i].real();
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double I = tfd[i].imag();
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double a = std::sqrt(R*R + I*I);
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mod.push_back(math::complex(float(i)/tfd.size()*fe, a));
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}
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create_plot_file("graph", mod);
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return 0;
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return 0;
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}
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}
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@ -4,7 +4,6 @@
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#include <complex>
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#include <complex>
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#include <opencv2/opencv.hpp>
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#include <opencv2/opencv.hpp>
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#include <iterator>
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#include <iterator>
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#include <cmath>
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namespace math {
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namespace math {
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@ -44,41 +43,45 @@ namespace math {
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csignal fft_rec(const csignal& input) {
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csignal fft_rec(const csignal& input) {
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int size = input.size();
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int size = input.size();
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if (size == 1) {
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if (size <= 1) {
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return input;
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return input;
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} else {
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} else {
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csignal odd;
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csignal odd;
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csignal even;
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csignal even;
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std::back_insert_iterator<csignal> odd_back_it(odd);
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auto odd_back_it = std::back_inserter(odd);
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std::back_insert_iterator<csignal> even_back_it(even);
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auto even_back_it = std::back_inserter(even);
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bool insert_in_even = false;
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bool insert_in_even = false;
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for (auto it = input.begin(); it != input.end(); ++it) {
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for (auto it = input.begin(); it != input.end(); ++it) {
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if (insert_in_even) {
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if (insert_in_even) {
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*even_back_it++ = *it;
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*(even_back_it++) = *it;
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insert_in_even = false;
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insert_in_even = false;
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} else {
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} else {
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*odd_back_it++ = *it;
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*(odd_back_it++) = *it;
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insert_in_even = true;
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insert_in_even = true;
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}
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}
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}
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}
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csignal odd_fft = fft_rec(odd);
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csignal odd_fft = fft_rec(odd);
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csignal even_fft = fft_rec(even);
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csignal even_fft = fft_rec(even);
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csignal res;
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csignal res(size, complex());
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res.reserve(size);
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for (int k = 0; k<size/2; ++k) {
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for (int k=0; k<size/2; ++k) {
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complex t = std::exp(complex(0, -2*pi()*k/size)) * odd[k];
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complex t = std::exp(complex(0, -2*pi()*k/size)) * odd_fft[k];
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res[k] = even[k] + t;
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res[k] = even_fft[k] + t;
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res[size/2+k] = even[k] - t;
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res[size/2+k] = even_fft[k] - t;
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}
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}
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return res;
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return res;
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}
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}
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}
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}
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csignal fft(const csignal& input) {
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csignal fft(const csignal& input, int N=0) {
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int opt_size = 1 << (int)std::ceil(std::log(input.size())/std::log(2));
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int opt_size;
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if (N < input.size()) {
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opt_size = 1 << (int)std::ceil(std::log(input.size())/std::log(2));
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} else {
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opt_size = 1 << (int)std::ceil(std::log(N)/std::log(2));
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}
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csignal sig(input);
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csignal sig(input);
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for (int i=0; i<opt_size-input.size(); ++i) {
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for (int i=0; i<opt_size-input.size(); ++i) {
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sig.push_back(complex(0, 0));
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sig.push_back(complex(0, 0));
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