mean()

MAYAFLUX_API std::vector< double > MayaFlux::Kinesis::Discrete::mean	(	std::span< const double >	data,
		size_t	n_windows,
		uint32_t	hop_size,
		uint32_t	window_size
	)

Arithmetic mean per window.

Definition at line 200 of file Analysis.cpp.

{
    std::vector<double> out(n_windows);
    std::vector<size_t> idx(n_windows);
    std::iota(idx.begin(), idx.end(), 0);
 
    std::for_each(std::execution::par_unseq, idx.begin(), idx.end(),
        [&](size_t i) {
            const size_t start = i * hop_size;
            auto w = data.subspan(start, std::min<size_t>(window_size, data.size() - start));
            double s = 0.0;
            for (double v : w)
                s += v;
            out[i] = s / static_cast<double>(w.size());
        });
 
    return out;
}

References mean(), and out.

Referenced by coefficient_of_variation(), MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::compute_statistical_values(), MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::create_analysis_result(), MayaFlux::Yantra::extract_above_mean(), MayaFlux::Yantra::extract_outliers(), mean(), and zscore().

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