RAP-MUSIC source localization method.
Compute Recursively Applied and Projected MUltiple SIgnal Classification (RAP-MUSIC) on evoked data.
Note
The goodness of fit (GOF) of all the returned dipoles is the same and corresponds to the GOF of the full set of dipoles.
Evoked
Evoked data to localize.
Forward
Forward operator.
Covariance
The noise covariance.
int
The number of dipoles to look for. The default value is 5.
If True, the residual is returned as an Evoked instance.
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
Notes
The references are:
J.C. Mosher and R.M. Leahy. 1999. Source localization using recursively applied and projected (RAP) MUSIC. Signal Processing, IEEE Trans. 47, 2 (February 1999), 332-340. DOI=10.1109/78.740118 https://doi.org/10.1109/78.740118
Mosher, J.C.; Leahy, R.M., EEG and MEG source localization using recursively applied (RAP) MUSIC, Signals, Systems and Computers, 1996. pp.1201,1207 vol.2, 3-6 Nov. 1996 doi: 10.1109/ACSSC.1996.599135
New in version 0.9.0.
mne.beamformer.rap_music
#Compute Rap-Music on evoked data