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
- inst
Epochs
|Evoked
The epochs or evoked object.
- fmin
None
,float
The minimum frequency to include. If None defaults to the minimum fft frequency greater than zero.
- fmax
None
,float
The maximum frequency to include. If None defaults to the maximum fft.
- n_fft
int
|None
The length of the windows used for FFT. If None, it defaults to the next power of 2 larger than the signal length.
- width
float
The width of the Gaussian window. If < 1, increased temporal resolution, if > 1, increased frequency resolution. Defaults to 1. (classical S-Transform).
- decim
int
The decimation factor on the time axis. To reduce memory usage.
- return_itcbool
Return intertrial coherence (ITC) as well as averaged power.
- n_jobs
int
The number of jobs to run in parallel (over channels).
- verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
- inst
- Returns
- power
AverageTFR
The averaged power.
- itc
AverageTFR
The intertrial coherence. Only returned if return_itc is True.
- power
See also
Notes
New in version 0.9.0.