Filter

Transformer that filters Series data.

Schnellstart

from sktime.transformations.filter import Filter

estimator = Filter(sfreq, l_freq=None, h_freq=None, filter_kwargs=None)

Parameter(4)

sfreq: int or float

sampling frequency of the recorded data in Hz

l_freq: float or None

For FIR filters, the lower pass-band edge; for IIR filters, the lower cutoff frequency. If None the data are only low-passed.

h_freq: float or None

For FIR filters, the upper pass-band edge; for IIR filters, the upper cutoff frequency. If None the data are only high-passed.

filter_kwargs: dict or None

Additional parameters passed on to mne.filter.filter_data. See mne.filter.filter_data documentation for a detailed description of all options.

Beispiele

>>> from sktime.transformations.filter import Filter
>>> from sktime.datasets import load_arrow_head
>>> X, y = load_arrow_head (return_X_y = True, return_type = "pd-multiindex")
>>> transformer = Filter (sfreq = 128, l_freq = 0.5, h_freq = 40)
>>> X_filtered = transformer. fit_transform (X)