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 [R61], [R62], [R63], [R64] for more information.
Parameters:  data : ndarray
sfreq : float
fmin : None, float
fmax : None, float
n_fft : int  None
width : float
decim : int
return_itc : bool
n_jobs : int


Returns:  st_power : ndarray
itc : ndarray
freqs : ndarray

See also
mne.time_frequency.tfr_stockwell
, mne.time_frequency.tfr_multitaper
, mne.time_frequency.tfr_array_multitaper
, mne.time_frequency.tfr_morlet
, mne.time_frequency.tfr_array_morlet
References
[R61]  (1, 2) Stockwell, R. G. “Why use the Stransform.” AMS Pseudodifferential operators: Partial differential equations and timefrequency analysis 52 (2007): 279309. 
[R62]  (1, 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. 
[R63]  (1, 2) 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), 52295233. 
[R64]  (1, 2) 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). Stransform timefrequency analysis of P300 reveals deficits in individuals diagnosed with alcoholism. Clinical Neurophysiology 117 2128–2143 