Compute the power spectral density (PSD) using multitapers.
The data for PSD calculation.
Min frequency of interest.
Max frequency of interest.
Min time of interest.
Max time of interest.
The bandwidth of the multi taper windowing function in Hz. The default value is a window half-bandwidth of 4.
Use adaptive weights to combine the tapered spectra into PSD (slow, use n_jobs >> 1 to speed up computation).
Only use tapers with more than 90% spectral concentration within bandwidth.
Normalization strategy. If “full”, the PSD will be normalized by the
sampling rate as well as the length of the signal (as in
Nitime). Default is
Channels to include. Slices and lists of integers will be interpreted as
channel indices. In lists, channel type strings (e.g.,
'eeg']) will pick channels of those types, channel name strings (e.g.,
['MEG0111', 'MEG2623'] will pick the given channels. Can also be the
string values “all” to pick all channels, or “data” to pick data
channels. None (default) will pick good data channels (excluding reference
MEG channels). Note that channels in
info['bads'] will be included if
their names or indices are explicitly provided.
Apply SSP projection vectors. If inst is ndarray this is not used.
The number of jobs to run in parallel. If
-1, it is set
to the number of CPU cores. Requires the
None (default) is a marker for ‘unset’ that will be interpreted
n_jobs=1 (sequential execution) unless the call is performed under
joblib.parallel_backend() context manager that sets another
Whether to omit bad segments from the data before fitting. If
(default), annotated segments whose description begins with
False, no rejection based on annotations is performed.
Has no effect if
inst is not a
New in version 0.12.0.