braindecode.preprocessing.Resample#

class braindecode.preprocessing.Resample(up=1.0, down=1.0, npad=100, axis=-1, window='boxcar', n_jobs=None, pad='reflect_limited', *, verbose=None)[source]#

Resample an array.

Operates along the last dimension of the array.

Parameters:

xndarray: Signal to resample.
upfloat: Factor to upsample by.
downfloat: Factor to downsample by.
npadint | str: Amount to pad the start and end of the data. Can also be “auto” to use a padding that will result in a power-of-two size (can be much faster).
axisint: Axis along which to resample (default is the last axis).
windowstr | tuple: Frequency-domain window to use in resampling. See scipy.signal.resample().
n_jobsint | str: Number of jobs to run in parallel. Can be ‘cuda’ if cupy is installed properly.
padstr: The type of padding to use. Supports all numpy.pad() mode options. Can also be "reflect_limited", which pads with a reflected version of each vector mirrored on the first and last values of the vector, followed by zeros. The default is 'reflect_limited'.

New in version 0.15.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

yarray: The x array resampled.

See more details in mne.filter.resample