//
// Created by david on 04.03.2026.
//

#ifndef PASADASUPERPROJECT_SIGNAL_H
#define PASADASUPERPROJECT_SIGNAL_H

#include <vector>

namespace pd_signal {
    /** `num` evenly spaced numbers over interval [start,stop] */
    void linspace(std::vector<double>& data, double start, double stop, int num);
    /** `num` evenly spaced numbers over interval [start,stop] with endpoint=true or [start,stop) with endpoint=false */
    void linspace(std::vector<double>& data, double start, double stop, int num, bool endpoint);

    /**
     * Evaluate at points x the function given by the samples fp[xp[n]].
     * Returned in y.
     */
    void interp(std::vector<double>& y, std::vector<double>& x, std::vector<double>& xp, std::vector<double>& fp);

    /** resample to BEAT_LEN */
    void resample(std::vector<double> &out, std::vector<double> &x, int beat_len);

    /**
     * normalized cross-correlation of the two signals of same length.
     * normalization factor is <c>1 / sqrt(\sum_i x_i^2 * \sum_i y_i^2)</c>
     */
    double crossCorr(std::vector<double> &x, std::vector<double> &y);

    /** clip 'val' to between 'a_min' and 'a_max'. */
    double clip(double val, double a_min, double a_max);

    /** two-dimensional mean of a collection of signals */
    void mean(std::vector<double> &out, std::vector<std::vector<double> >& m);

}

#endif //PASADASUPERPROJECT_SIGNAL_H