mne.compute_proj_raw¶
- mne.compute_proj_raw(raw, start=0, stop=None, duration=1, n_grad=2, n_mag=2, n_eeg=0, reject=None, flat=None, n_jobs=1, meg='separate', verbose=None)[source]¶
Compute SSP (signal-space projection) vectors on continuous data.
This function aims to find those SSP vectors that will project out the
n
most prominent signals from the data for each specified sensor type. Consequently, if the provided input data contains high levels of noise, the produced SSP vectors can then be used to eliminate that noise from the data.- Parameters
- rawinstance of
Raw
A raw object to use the data from.
- start
float
Time (in sec) to start computing SSP.
- stop
float
Time (in sec) to stop computing SSP. None will go to the end of the file.
- duration
float
Duration (in sec) to chunk data into for SSP If duration is None, data will not be chunked.
- n_grad
int
Number of vectors for gradiometers.
- n_mag
int
Number of vectors for magnetometers.
- n_eeg
int
Number of vectors for EEG channels.
- reject
dict
|None
Epoch rejection configuration (see Epochs).
- flat
dict
|None
Epoch flat configuration (see Epochs).
- n_jobs
int
The number of jobs to run in parallel (default 1). Requires the joblib package. Number of jobs to use to compute covariance.
- meg
str
Can be ‘separate’ (default) or ‘combined’ to compute projectors for magnetometers and gradiometers separately or jointly. If ‘combined’,
n_mag == n_grad
is required and the number of projectors computed for MEG will ben_mag
.New in version 0.18.
- verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more). If used, it should be passed as a keyword-argument only.
- rawinstance of
- Returns
- projs:
list
List of projection vectors.
- projs:
See also