BeamformerCleantSqTraj¶
- class acoular.tbeamform.BeamformerCleantSqTraj¶
Bases:
BeamformerCleantTraj
,BeamformerTimeSq
CLEANT deconvolution method with optional removal of autocorrelation.
An implementation of the CLEAN method in time domain for moving sources with known trajectory. See [18] for details on the method and [19] for details on the autocorrelation removal.
- r_diag = Bool(True, desc='removal of diagonal')¶
Boolean flag, if ‘True’ (default), the main diagonal is removed before beamforming.
- result(num=2048)¶
Python generator that yields the squared deconvolved time-domain beamformer output.
The output starts for signals that were emitted from the
Grid
at t=0. Per default, block-wise removal of autocorrelation is performed, which can be turned of by settingr_diag
to False.- Parameters:
- numint
This parameter defines the size of the blocks to be yielded (i.e. the number of samples per block). Defaults to 2048.
- Yields:
- numpy.ndarray
- Samples in blocks of shape (num,
numchannels
). numchannels
is usually very large (number of grid points). The last block returned by the generator may be shorter than num.
- Samples in blocks of shape (num,