mne.time_frequency.tfr_array_stockwell¶
-
mne.time_frequency.
tfr_array_stockwell
(data, sfreq, fmin=None, fmax=None, n_fft=None, width=1.0, decim=1, return_itc=False, n_jobs=1)[source]¶ Compute power and intertrial coherence using Stockwell (S) transform.
See [1], [2], [3], [4] for more information.
- Parameters
- data
ndarray
The signal to transform. Any dimensionality supported as long as the last dimension is time.
- sfreq
float
The sampling frequency.
- 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 (default 1). Requires the joblib package.
- data
- Returns
See also
References
- 1
Stockwell, R. G. “Why use the S-transform.” AMS Pseudo-differential operators: Partial differential equations and time-frequency analysis 52 (2007): 279-309.
- 2
Moukadem, A., Bouguila, Z., Abdeslam, D. O, and Dieterlen, A. Stockwell transform optimization applied on the detection of split in heart sounds (2014). Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 22nd European, pages 2015–2019.
- 3
Wheat, K., Cornelissen, P. L., Frost, S.J, and Peter C. Hansen (2010). During Visual Word Recognition, Phonology Is Accessed within 100 ms and May Be Mediated by a Speech Production Code: Evidence from Magnetoencephalography. The Journal of Neuroscience, 30 (15), 5229-5233.
- 4
K. A. Jones and B. Porjesz and D. Chorlian and M. Rangaswamy and C. Kamarajan and A. Padmanabhapillai and A. Stimus and H. Begleiter (2006). S-transform time-frequency analysis of P300 reveals deficits in individuals diagnosed with alcoholism. Clinical Neurophysiology 117 2128–2143