Commit b8386c99 authored by Bernardo Hummes's avatar Bernardo Hummes
Browse files

added back my code, some problem in boundaries management for the vectors

parent f5affd57
...@@ -10,48 +10,48 @@ std::map<FTYPE, DataVector> stft(DataVector &signal) { ...@@ -10,48 +10,48 @@ std::map<FTYPE, DataVector> stft(DataVector &signal) {
auto stddev = DataVector(FFT_SIZE); auto stddev = DataVector(FFT_SIZE);
// for (DataVector::const_iterator it; it != signal.end()-N-1; it+=N) { for (DataVector::const_iterator it; it != signal.end()-N-1; it+=N) {
//
// // get the two overlapping chuncks from the sliding window // get the two overlapping chuncks from the sliding window
// std::vector<Complex> v1(it, it+N); std::vector<Complex> v1(it, it+N);
// std::vector<Complex> v2(it+N/2, it+N+N/2); std::vector<Complex> v2(it+N/2, it+N+N/2);
//
// auto w = hamming_window(); auto w = hamming_window();
// windowing(w, v1); windowing(w, v1);
// windowing(w, v2); windowing(w, v2);
//
// // compute the fft // compute the fft
// ite_dit_fft(v1); ite_dit_fft(v1);
// ite_dit_fft(v2); ite_dit_fft(v2);
//
// // compute the magnitude fft's output (which is a complex, with angle and phase) // compute the magnitude fft's output (which is a complex, with angle and phase)
// DataVector v1_abs = DataVector(N); DataVector v1_abs = DataVector(N);
// DataVector v2_abs = DataVector(N); DataVector v2_abs = DataVector(N);
//
// for (std::size_t i=0; i<v1.size(); i++) { for (std::size_t i=0; i<v1.size(); i++) {
// v1_abs.push_back(abs(v1[i])); v1_abs.push_back(abs(v1[i]));
// v2_abs.push_back(abs(v2[i])); v2_abs.push_back(abs(v2[i]));
// } }
//
// // compute the average of the magnitudes // compute the average of the magnitudes
// auto chunck_1_avg = std::accumulate(v1_abs.begin(), v1_abs.end(), 0)/v1_abs.size(); auto chunck_1_avg = std::accumulate(v1_abs.begin(), v1_abs.end(), 0)/v1_abs.size();
// auto chunck_2_avg = std::accumulate(v1_abs.begin(), v1_abs.end(), 0)/v1_abs.size(); auto chunck_2_avg = std::accumulate(v1_abs.begin(), v1_abs.end(), 0)/v1_abs.size();
//
// avg.push_back(chunck_1_avg); avg.push_back(chunck_1_avg);
// avg.push_back(chunck_2_avg); avg.push_back(chunck_2_avg);
//
// // use the average to compute the std deviation // use the average to compute the std deviation
// auto chunck_1_stddev = 0; auto chunck_1_stddev = 0;
// auto chunck_2_stddev = 0; auto chunck_2_stddev = 0;
//
// for (std::size_t i=0; i < v1_abs.size(); i++) { for (std::size_t i=0; i < v1_abs.size(); i++) {
// chunck_1_stddev += pow(v1_abs.at(i) - chunck_1_avg, 2); chunck_1_stddev += pow(v1_abs.at(i) - chunck_1_avg, 2);
// chunck_2_stddev += pow(v2_abs.at(i) - chunck_1_avg, 2); chunck_2_stddev += pow(v2_abs.at(i) - chunck_1_avg, 2);
// } }
//
// stddev.push_back(chunck_1_stddev); stddev.push_back(chunck_1_stddev);
// stddev.push_back(chunck_2_stddev); stddev.push_back(chunck_2_stddev);
// } }
std::map<FTYPE, DataVector> features; std::map<FTYPE, DataVector> features;
//insert bins average and stddev in features //insert bins average and stddev in features
......
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