Hilbert

class of dascore.transform.hilbert inherits from: PatchProcessor, DascoreBaseModel, pydantic.main.BaseModel

source

Hilbert(
    *args ,
    dim: str ,
)-> None

Perform a Hilbert transform on a patch.

The Hilbert transform returns the analytic signal (complex-valued) where the real part is the original signal and the imaginary part is the Hilbert transform of the signal.

Parameters

Parameter	Description
patch	The patch to transform.
dim	The dimension along which to apply the Hilbert transform.

Returns

PatchType A patch with a complex data array representing the analytic signal.

Examples

import dascore as dc
import numpy as np

patch = dc.get_example_patch()
analytic = patch.hilbert(dim="time")
# Real part is original signal
assert np.allclose(analytic.data.real, patch.data)

Methods

Name	Description
check	Refuse a patch which does not carry what the operation needs.
get_metadata	Return the axis, once it is known to be evenly sampled.
kernel	Return the analytic signal along the axis, through the FFT.
model_copy	Copy the model, dropping cached values the update invalidates.
new	Create new instance with some attributed updated.
numpy_kernel	Return the analytic signal along the axis.
hilbert	Perform a Hilbert transform on a patch.
reconcile	Return metadata or a patch holding the final data; default as is.
run	Run the operation: check, get_metadata, kernel, reconcile, record.