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)¶
Compute the power spectral density (PSD) using multitapers.
Calculates spectral density for orthogonal tapers, then averages them together for each channel/epoch. See  for a description of the tapers and  for the general method.
- instinstance of
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.
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).
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). 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 (default 1). Requires the joblib package.
- instinstance of
New in version 0.12.0.
Slepian, D. “Prolate spheroidal wave functions, Fourier analysis, and uncertainty V: The discrete case.” Bell System Technical Journal, vol. 57, 1978.
Percival D.B. and Walden A.T. “Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques.” Cambridge University Press, 1993.