mne.time_frequency.csd_multitaper¶

mne.time_frequency.
csd_multitaper
(epochs, fmin=0, fmax=inf, tmin=None, tmax=None, picks=None, n_fft=None, bandwidth=None, adaptive=False, low_bias=True, projs=None, n_jobs=1, verbose=None)[source]¶ Estimate crossspectral density from epochs using Morlet wavelets.
 Parameters
 epochsinstance of
Epochs
The epochs to compute the CSD for.
 fmin
float
None
Minimum frequency of interest, in Hertz.
 fmax
float
numpy.inf
Maximum frequency of interest, in Hertz.
 tmin
float
Minimum time instant to consider, in seconds. If
None
start at first sample. tmax
float
None
Maximum time instant to consider, in seconds. If
None
end at last sample. picks
str
list
slice
None
Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g.,
['meg', '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). n_fft
int
None
Length of the FFT. If
None
, the exact number of samples betweentmin
andtmax
will be used. bandwidth
float
None
The bandwidth of the multitaper windowing function in Hz.
 adaptivebool
Use adaptive weights to combine the tapered spectra into PSD.
 low_biasbool
Only use tapers with more than 90% spectral concentration within bandwidth.
 projs
list
ofProjection
None
List of projectors to store in the CSD object. Defaults to
None
, which means the projectors defined in the Epochs object will by copied. n_jobs
int
The number of jobs to run in parallel (default 1). Requires the joblib package.
 verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
 epochsinstance of
 Returns
 csdinstance of
CrossSpectralDensity
The computed crossspectral density.
 csdinstance of