David Madl
90f8943930
* use SSF signal instead of accelerometer signal
* use higher BEAT_CORR_THR_{12} for SSF signal
* add absolute SSF_THRESHOLD to ignore small accelero bumps
* compute ssf_threshold according to detected SSF peaks, not the mean (more robust vs. noise)
42 lines
1.5 KiB
C++
42 lines
1.5 KiB
C++
//
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// Created by david on 04.03.2026.
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//
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#ifndef PASADASUPERPROJECT_SIGNAL_H
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#define PASADASUPERPROJECT_SIGNAL_H
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#include <vector>
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#include <deque>
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namespace pd_signal {
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/** `num` evenly spaced numbers over interval [start,stop] */
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void linspace(std::vector<double>& data, double start, double stop, int num);
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/** `num` evenly spaced numbers over interval [start,stop] with endpoint=true or [start,stop) with endpoint=false */
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void linspace(std::vector<double>& data, double start, double stop, int num, bool endpoint);
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/**
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* Evaluate at points x the function given by the samples fp[xp[n]].
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* Returned in y.
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*/
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void interp(std::vector<double>& y, std::vector<double>& x, std::vector<double>& xp, std::vector<double>& fp);
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/** resample to BEAT_LEN */
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void resample(std::vector<double> &out, std::vector<double> &x, int beat_len);
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/**
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* normalized cross-correlation of the two signals of same length.
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* normalization factor is <c>1 / sqrt(\sum_i x_i^2 * \sum_i y_i^2)</c>
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*/
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double crossCorr(std::vector<double> &x, std::vector<double> &y);
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/** clip 'val' to between 'a_min' and 'a_max'. */
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double clip(double val, double a_min, double a_max);
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/** two-dimensional mean of a collection of signals */
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void mean(std::vector<double> &out, std::vector<std::vector<double> >& m);
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/** two-dimensional mean of a collection of signals */
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void mean(std::vector<double> &out, std::deque<std::vector<double> >& m);
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}
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#endif //PASADASUPERPROJECT_SIGNAL_H
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