peak_positions()

MAYAFLUX_API std::vector< size_t > MayaFlux::Kinesis::Discrete::peak_positions	(	std::span< const double >	data,
		double	threshold = 0.0,
		size_t	min_distance = 1
	)

Sample indices of local peak maxima in the full span.

A peak at index i satisfies: |data[i]| > threshold, |data[i]| >= |data[i-1]|, |data[i]| >= |data[i+1]|, and i - last_peak >= min_distance.

Note

Produces sparse output; not vectorisable or suitable for compute kernels.

Parameters

data	Input span
threshold	Minimum absolute value to qualify as a peak
min_distance	Minimum sample gap between accepted peaks

Returns

Sorted sample indices of detected peaks

Definition at line 669 of file Analysis.cpp.

{
    if (data.size() < 3)
        return {};
 
    std::vector<size_t> pos;
    pos.reserve(data.size() / 100);
    size_t last = 0;
 
    for (size_t i = 1; i + 1 < data.size(); ++i) {
        const double a = std::abs(data[i]);
        if (a > threshold
            && a >= std::abs(data[i - 1])
            && a >= std::abs(data[i + 1])
            && (pos.empty() || (i - last) >= min_distance)) {
            pos.push_back(i);
            last = i;
        }
    }
 
    pos.shrink_to_fit();
    return pos;
}

References a, peak_positions(), and MayaFlux::Kinesis::threshold().

Referenced by MayaFlux::Yantra::EnergyAnalyzer< InputType, OutputType >::create_analysis_result(), MayaFlux::Yantra::extract_peaks(), peak_positions(), and MayaFlux::Nodes::Network::ModalNetwork::process_batch().

Here is the call graph for this function:

Here is the caller graph for this function: