spectral_entropy

function of dascore.transform.spectral_descriptors

spectral_entropy(
    patch: Patch ,
    dim: str | None[str, None] = None,
    fmin: float | None[float, None] = None,
    fmax: float | None[float, None] = None,
    normalize: bool = True,
    spectral_format: Literal[‘auto’, ‘fft’, ‘amplitude’, ‘power’, ‘density’] = auto,
    negative_frequencies: Literal[‘auto’, ‘drop’, ‘raise’, ‘keep’] = auto,
)-> ‘PatchType’

Compute spectral entropy from a Fourier-domain patch.

Spectral entropy measures the disorder of the spectral power distribution. Low values indicate concentrated spectral energy, while high values indicate broadband or noisy spectra. The input patch must already be transformed with Patch.dft or Patch.stft.

Parameters

Parameter	Description
patch	Fourier-domain DASCore patch from `dft` or `stft`.

dim	Frequency dimension over which to compute the descriptor. This can be either the original dimension name, such as `"time"`, or the Fourier dimension name, such as `"ft_time"`. If omitted, a single Fourier dimension is inferred.
fmin	Optional lower frequency bound.
fmax	Optional upper frequency bound.
normalize	If True, normalize entropy to [0, 1]. Defaults to True.
spectral_format	Representation of the spectral data. `"auto"` uses DASCore DFT/STFT metadata when available. Other options are `"fft"` for complex Fourier coefficients, `"amplitude"` for amplitude spectra, `"power"` for power spectra, and `"density"` for power spectral densities.
negative_frequencies	How to handle negative frequency bins. `"auto"` drops negative bins only when power is symmetric, `"drop"` always uses non-negative frequencies, `"raise"` rejects spectra with negative bins, and `"keep"` includes them in the calculation.

Returns

PatchType Patch containing spectral entropy.