mne.time_frequency.multitaper_psd

mne.time_frequency.multitaper_psd(*args, **kwargs)

Warning

DEPRECATED: This will be deprecated in release v0.12, see psd_multitaper.

Compute power spectrum density (PSD) using a multi-taper method

Parameters:

x : array, shape=(n_signals, n_times) or (n_times,)

The data to compute PSD from.

sfreq : float

The sampling frequency.

fmin : float

The lower frequency of interest.

fmax : float

The upper frequency of interest.

bandwidth : float

The bandwidth of the multi taper windowing function in Hz.

adaptive : bool

Use adaptive weights to combine the tapered spectra into PSD (slow, use n_jobs >> 1 to speed up computation).

low_bias : bool

Only use tapers with more than 90% spectral concentration within bandwidth.

n_jobs : int

Number of parallel jobs to use (only used if adaptive=True).

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).

verbose : bool, str, int, or None

If not None, override default verbose level (see mne.verbose).

Returns:

psd : array, shape=(n_signals, len(freqs)) or (len(freqs),)

The computed PSD.

freqs : array

The frequency points in Hz of the PSD.

Notes

New in version 0.9.0.