Yes, excellent!

> On Apr 22, 2014, at 8:56 PM, Alexandre Gramfort <notifications@github.com> wrote:
> 
> In mne/time_frequency/_stockwell.py:
> 
> > +    -------
> > +    st_power : ndarray
> > +        The multitaper power of the Stockwell transformed data.
> > +        The last two dimensions are frequency and time.
> > +
> > +    References
> > +    ----------
> > +    Stockwell, R. G. "Why use the S-transform." AMS Pseudo-differential
> > +        operators: Partial differential equations and time-frequency
> > +        analysis 52 (2007): 279-309.
> > +    """
> > +
> > +    if n_tapers == 0:
> > +        st = stockwell(data=data, sfreq=sfreq, fmin=fmin, fmax=fmax,
> > +                       n_fft=n_fft, n_jobs=n_jobs, verbose=verbose)
> > +        return np.abs(st) ** 2
> n_tapers = None means a single taper full of ones
> 
> ok?
> 
> —
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