Compute power spectral density (PSD) using a multi-taper method.
float
The sampling frequency.
float
The lower frequency of interest.
float
The upper frequency of interest.
float
The bandwidth of the multi taper windowing function in Hz.
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.
int
Number of parallel jobs to use (only used if adaptive=True).
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 'length'
.
str
| int
| None
Control verbosity of the logging output. If None
, use the default
verbosity level. See the logging documentation and
mne.verbose()
for details. Should only be passed as a keyword
argument.
See also
Methods
|
Compute power spectral density (PSD) using a multi-taper method. |
|
Fit to data, then transform it. |
|
Compute power spectral density (PSD) using a multi-taper method. |
Compute power spectral density (PSD) using a multi-taper method.
PSDEstimator
The modified instance.
mne.decoding.PSDEstimator
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