mne.time_frequency.tfr_stockwell

mne.time_frequency.tfr_stockwell(inst, fmin=None, fmax=None, n_fft=None, width=1.0, decim=1, return_itc=False, n_jobs=1, verbose=None)[source]

Time-Frequency Representation (TFR) using Stockwell Transform.

Parameters
instEpochs | Evoked

The epochs or evoked object.

fminNone, float

The minimum frequency to include. If None defaults to the minimum fft frequency greater than zero.

fmaxNone, float

The maximum frequency to include. If None defaults to the maximum fft.

n_fftint | None

The length of the windows used for FFT. If None, it defaults to the next power of 2 larger than the signal length.

widthfloat

The width of the Gaussian window. If < 1, increased temporal resolution, if > 1, increased frequency resolution. Defaults to 1. (classical S-Transform).

decimint

The decimation factor on the time axis. To reduce memory usage.

return_itcbool

Return intertrial coherence (ITC) as well as averaged power.

n_jobsint

The number of jobs to run in parallel (over channels).

verbosebool, str, int, or None

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

Returns
powerAverageTFR

The averaged power.

itcAverageTFR

The intertrial coherence. Only returned if return_itc is True.

Notes

New in version 0.9.0.