mne.time_frequency.psd_multitaper¶

mne.time_frequency.
psd_multitaper
(inst, fmin=0, fmax=inf, tmin=None, tmax=None, bandwidth=None, adaptive=False, low_bias=True, normalization='length', picks=None, proj=False, n_jobs=1, verbose=None)[source]¶ Compute the power spectral density (PSD) using multitapers.
Calculates spectral density for orthogonal tapers, then averages them together for each channel/epoch. See [1] for a description of the tapers and [2] for the general method.
 Parameters
 instinstance of
Epochs
orRaw
orEvoked
The data for PSD calculation.
 fmin
float
Min frequency of interest.
 fmax
float
Max frequency of interest.
 tmin
float
None
Min time of interest.
 tmax
float
None
Max time of interest.
 bandwidth
float
The bandwidth of the multi taper windowing function in Hz. The default value is a window halfbandwidth of 4.
 adaptivebool
Use adaptive weights to combine the tapered spectra into PSD (slow, use n_jobs >> 1 to speed up computation).
 low_biasbool
Only use tapers with more than 90% spectral concentration within bandwidth.
 normalization
str
Either “full” or “length” (default). If “full”, the PSD will be normalized by the sampling rate as well as the length of the signal (as in nitime).
 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). projbool
Apply SSP projection vectors. If inst is ndarray this is not used.
 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).
 instinstance of
 Returns
Notes
New in version 0.12.0.
References
 1
Slepian, D. “Prolate spheroidal wave functions, Fourier analysis, and uncertainty V: The discrete case.” Bell System Technical Journal, vol. 57, 1978.
 2
Percival D.B. and Walden A.T. “Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques.” Cambridge University Press, 1993.