sigpyproc.io.rescale

Rescaling of streaming data to zero mean and unit variance.

This module contains the Rescale class for rescaling streaming data.

Classes

Rescale

A class to rescale streaming data to zero mean and unit variance.

class sigpyproc.io.rescale.Rescale(nchans, rescale_samples=16384, *, constant_offset_scale=False)

Bases: object

A class to rescale streaming data to zero mean and unit variance.

Parameters:

nchansint

Number of channels in the data.

rescale_samplesint, optional

Number of samples (per channel) to use for stats computation, by default 16384.

constant_offset_scalebool, optional

Whether to the offset/scale computed at first update for all, by default False.

Methods

execute(data)

Rescale the data to zero mean and unit variance.

execute(data)

Rescale the data to zero mean and unit variance.

Parameters:

dataNDArray[float32]

Flattened data array.

Returns:

NDArray[float32]

Rescaled data array.