mne.time_frequency.stft¶

mne.time_frequency.stft(x, wsize, tstep=None, verbose=None)[source]¶

STFT Short-Term Fourier Transform using a sine window.

The transformation is designed to be a tight frame that can be perfectly inverted. It only returns the positive frequencies.

Parameters:

Parameters:	x : 2d array of size n_signals x T containing multi-channels signal wsize : int length of the STFT window in samples (must be a multiple of 4) tstep : int step between successive windows in samples (must be a multiple of 2, a divider of wsize and smaller than wsize/2) (default: wsize/2) verbose : bool, str, int, or None If not None, override default verbose level (see `mne.verbose()` and Logging documentation for more).
Returns:	X : 3d array of shape [n_signals, wsize / 2 + 1, n_step] STFT coefficients for positive frequencies with n_step = ceil(T / tstep)

x : 2d array of size n_signals x T

containing multi-channels signal

wsize : int

length of the STFT window in samples (must be a multiple of 4)

tstep : int

step between successive windows in samples (must be a multiple of 2, a divider of wsize and smaller than wsize/2) (default: wsize/2)

verbose : bool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

X : 3d array of shape [n_signals, wsize / 2 + 1, n_step]

STFT coefficients for positive frequencies with n_step = ceil(T / tstep)