compute_rms_energy()

std::vector< double > MayaFlux::Yantra::compute_rms_energy	(	std::span< const double >	data,
		const uint32_t	num_windows,
		const uint32_t	hop_size,
		const uint32_t	window_size
	)

Compute RMS energy using zero-copy processing.

This function computes the root mean square (RMS) energy for a given data span. It calculates the square root of the average of squares in each window.

Parameters

data	Input data span
num_windows	Number of windows to process
hop_size	Hop size for windowing
window_size	Size of each window

Returns

Vector of RMS energy values

Definition at line 112 of file AnalysisHelper.cpp.

{
    std::vector<double> rms_values(num_windows);
 
    std::vector<size_t> indices(num_windows);
    std::iota(indices.begin(), indices.end(), 0);
 
    std::for_each(std::execution::par_unseq, indices.begin(), indices.end(),
        [&](size_t i) {
            const size_t start_idx = i * hop_size;
            const size_t end_idx = std::min(start_idx + window_size, data.size());
            auto window = data.subspan(start_idx, end_idx - start_idx);
 
            double sum_squares = 0.0;
            for (double sample : window) {
                sum_squares += sample * sample;
            }
            rms_values[i] = std::sqrt(sum_squares / static_cast<double>(window.size()));
        });
 
    return rms_values;
}

References compute_rms_energy().

Referenced by MayaFlux::Yantra::EnergyAnalyzer< InputType, OutputType >::compute_energy_values(), compute_rms_energy(), and MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::compute_statistical_values().

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