signals: numpy.ndarray (1D sequence or n_samples x n_sources) :
Signals to be filtered. A signal is assumed to be a column
of signals.
sampling_rate: float :
Number of samples per time unit (sample frequency)
low_pass: float, optional :
If specified, signals above this frequency will be filtered out
(low pass). This is -3dB cutoff frequency.
high_pass: float, optional :
If specified, signals below this frequency will be filtered out
(high pass). This is -3dB cutoff frequency.
order: integer, optional :
Order of the Butterworth filter. When filtering signals, the
filter has a decay to avoid ringing. Increasing the order
sharpens this decay. Be aware that very high orders could lead
to numerical instability.
copy: bool, optional :
If False, signals is modified inplace, and memory consumption is
lower than for copy=True, though computation time is higher.
|
