inst : Epochs  Evoked
The epochs or evoked object.
freqs : ndarray, shape (n_freqs,)
n_cycles : float  ndarray, shape (n_freqs,)
The number of cycles globally or for each frequency.
The timewindow length is thus T = n_cycles / freq.
time_bandwidth : float, (optional)
Time x (Full) Bandwidth product. Should be >= 2.0.
Choose this along with n_cycles to get desired frequency resolution.
The number of good tapers (least leakage from far away frequencies)
is chosen automatically based on this to floor(time_bandwidth  1).
Default is 4.0 (3 good tapers).
E.g., With freq = 20 Hz and n_cycles = 10, we get time = 0.5 s.
If time_bandwidth = 4., then frequency smoothing is (4 / time) = 8 Hz.
use_fft : bool
The fft based convolution or not.
Defaults to True.
return_itc : bool
Return intertrial coherence (ITC) as well as averaged power.
Defaults to True.
decim : int
The decimation factor on the time axis. To reduce memory usage.
Note than this is brute force decimation, no antialiasing is done.
Defaults to 1.
n_jobs : int
The number of jobs to run in parallel. Defaults to 1.
picks : arraylike of int  None
The indices of the channels to plot. If None all available
channels are displayed.
verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose).
