maad_spectral_entropy: Compute the frequency entropy using scikit-maad

In edwbaker/SonicScrewdriveR: Bioacoustic Analysis and Publication Tools

Compute the frequency entropy using scikit-maad

Description

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().

Details

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

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.

edwbaker/SonicScrewdriveR documentation built on Feb. 14, 2025, 2:45 p.m.