137 lines
3.7 KiB
C++
137 lines
3.7 KiB
C++
/* #define DEBUGTRACE_ENABLED */
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#include "lasp_avpowerspectra.h"
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#include "debugtrace.hpp"
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#include "lasp_mathtypes.h"
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#include <cmath>
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#include <optional>
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using rte = std::runtime_error;
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using std::cerr;
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using std::endl;
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PowerSpectra::PowerSpectra(const us nfft, const Window::WindowType w)
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: PowerSpectra(Window::create(w, nfft)) {}
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PowerSpectra::PowerSpectra(const vd &window)
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: nfft(window.size()), _fft(nfft), _window(window) {
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d win_pow = arma::sum(window % window) / window.size();
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/* Scale fft such that power is easily computed */
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_scale_fac = 2.0 / (win_pow * (d)nfft * (d)nfft);
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DEBUGTRACE_PRINT(nfft);
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DEBUGTRACE_PRINT(win_pow);
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}
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ccube PowerSpectra::compute(const dmat &input) {
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/// Run very often. Silence this one.
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/* DEBUGTRACE_ENTER; */
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dmat input_tmp = input;
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// Multiply each column of the inputs element-wise with the window.
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input_tmp.each_col() %= _window;
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cmat rfft = _fft.fft(input_tmp);
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ccube output(rfft.n_rows, input.n_cols, input.n_cols);
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for (us i = 0; i < input.n_cols; i++) {
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/// This one can be run in parallel without any problem. Note that it is
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/// the inner loop that is run in parallel.
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#pragma omp parallel for
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for (us j = 0; j < input.n_cols; j++) {
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output.slice(j).col(i) =
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_scale_fac * (rfft.col(i) % arma::conj(rfft.col(j)));
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output.slice(j).col(i)(0) /= 2;
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output.slice(j).col(i)(nfft / 2) /= 2;
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}
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}
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return output;
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}
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AvPowerSpectra::AvPowerSpectra(const us nfft, const Window::WindowType w,
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const d overlap_percentage,
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const d time_constant_times_fs)
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: _ps(nfft, w) {
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DEBUGTRACE_ENTER;
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if (overlap_percentage >= 100 || overlap_percentage < 0) {
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throw rte("Overlap percentage should be >= 0 and < 100");
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}
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_overlap_keep = (nfft * overlap_percentage) / 100;
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DEBUGTRACE_PRINT(_overlap_keep);
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if (_overlap_keep >= nfft) {
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throw rte("Overlap is too high. Results in no jump. Please "
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"choose a smaller overlap percentage or a higher nfft");
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}
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if (time_constant_times_fs < 0) {
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_mode = Mode::Averaging;
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} else if (time_constant_times_fs == 0) {
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_mode = Mode::Spectrogram;
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} else {
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_mode = Mode::Leaking;
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_alpha = d_exp(-static_cast<d>((nfft - _overlap_keep)/time_constant_times_fs));
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DEBUGTRACE_PRINT(_alpha);
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}
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}
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void AvPowerSpectra::reset() {
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_timeBuf.reset();
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_est.reset();
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n_averages=0;
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}
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ccube AvPowerSpectra::compute(const dmat &timedata) {
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DEBUGTRACE_ENTER;
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DEBUGTRACE_PRINT(timedata.n_rows);
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DEBUGTRACE_PRINT(_ps.nfft);
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_timeBuf.push(timedata);
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bool run_once = false;
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while (_timeBuf.size() >= _ps.nfft) {
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DEBUGTRACE_PRINT((int)_mode);
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dmat samples = _timeBuf.pop(_ps.nfft, _overlap_keep);
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switch (_mode) {
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case (Mode::Spectrogram):
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DEBUGTRACE_PRINT("Spectrogram mode");
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_est = _ps.compute(samples);
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break;
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case (Mode::Averaging):
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DEBUGTRACE_PRINT("Averaging mode");
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n_averages++;
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if (n_averages == 1) {
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_est = _ps.compute(samples);
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} else {
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_est = (static_cast<d>(n_averages - 1) / n_averages) * _est +
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_ps.compute(samples) / n_averages;
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}
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break;
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case (Mode::Leaking):
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DEBUGTRACE_PRINT("Leaking mode");
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if (arma::size(_est) == arma::size(0, 0, 0)) {
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_est = _ps.compute(samples);
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} else {
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_est = _alpha * _est + (1 - _alpha) * _ps.compute(samples);
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}
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break;
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} // end switch mode
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run_once = true;
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}
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/// Return a copy of current estimator in case we have done one update.
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/// Othewise, we return an empty ccube.
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return run_once ? _est : ccube();
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}
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ccube AvPowerSpectra::get_est() const {
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return _est;
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}
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