maad_frequency_entropy: Compute the frequency entropy using scikit-maad

In edwbaker/SonicScrewdriveR: Bioacoustic Analysis and Publication Tools

Compute the frequency entropy using scikit-maad

Description

The spectral entropy of a signal measures the energy dispersion along frequencies. Low values indicates a concentration of energy around a narrow frequency band. If the DC value is not removed before processing the large peak at f=0Hz will lower the entropy of the signal.

Usage

maad_frequency_entropy(object, compatibility = "QUT", 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.
compatibility	One of "QUT" \insertCitequtsonicscrewdriver or "seewave" \insertCiteseewave2008sonicscrewdriver. Default is "QUT".
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.frequency_entropy.html

Value

List comprising:

Hf	Frequency entropy.
Ht_per_bin	Temporal entropy per frequency bin.

References

\insertAllCited

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