Compute the frequency entropy using scikit-maad — maad_spectral_entropy • sonicscrewdriver

Compute different entropies based on the average spectrum, its variance, and its maxima.

Usage

maad_spectral_entropy(object, flim = NULL, maad = NULL)

Arguments

object: A Wave object or a spectrogram_maad object generated by maad_spectrogram. If a Wave-like object is provided, the spectrogram will be calculated using the default parameters.
flim: A numeric vector of length 2 specifying the frequency limits for the entropy calculation.
maad: An optional maad object. If not provided, one will be created using getMaad().

Value

List comprising:

EAS: Entropy of Average Spectrum.
ECU: Entropy of spectral variance (along the time axis for each frequency).
ECV: Entropy of Coefficient of Variation (along the time axis for each frequency).
EPS: Entropy of spectral maxima (peaks).
EPS_KURT: Kurtosis of spectral maxima.
EPS_SKEW: Skewness of spectral maxima.

Details

For addition documentation see https://scikit-maad.github.io/generated/maad.features.spectral_entropy.html