A computed beamformer.
Notes
New in version 0.17.
Methods
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True if the dictionary has the specified key, else False. |
x.__getitem__(y) <==> x[y] |
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Implement iter(self). |
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Return len(self). |
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Copy the beamformer. |
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Create a new dictionary with keys from iterable and values set to value. |
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Return the value for key if key is in the dictionary, else default. |
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If key is not found, d is returned if given, otherwise KeyError is raised |
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Remove and return a (key, value) pair as a 2-tuple. |
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Save the beamformer filter. |
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Insert key with a value of default if key is not in the dictionary. |
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If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] |
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True if the dictionary has the specified key, else False.
x.__getitem__(y) <==> x[y]
Implement iter(self).
Return len(self).
Copy the beamformer.
Beamformer
A deep copy of the beamformer.
Create a new dictionary with keys from iterable and values set to value.
Return the value for key if key is in the dictionary, else default.
If key is not found, d is returned if given, otherwise KeyError is raised
Remove and return a (key, value) pair as a 2-tuple.
Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.
Save the beamformer filter.
str
The filename to use to write the HDF5 data.
Should end in '-lcmv.h5'
or '-dics.h5'
.
If True (default False), overwrite the destination file if it exists.
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.
Insert key with a value of default if key is not in the dictionary.
Return the value for key if key is in the dictionary, else default.
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
mne.beamformer.Beamformer
#Compute source power using DICS beamformer
Compute cross-talk functions for LCMV beamformers