Compute the frequency entropy using scikit-maad

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" qutsonicscrewdriver or "seewave" seewave2008sonicscrewdriver. Default is "QUT".

maad

An optional maad object. If not provided, one will be created using getMaad().

Value

List comprising:

Hf

Frequency entropy.

Ht_per_bin

Temporal entropy per frequency bin.

Details

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

References