BeamformerCleant¶

class acoular.tbeamform.BeamformerCleant¶

Bases: BeamformerTime

CLEANT deconvolution method.

An implementation of the CLEAN method in time domain. This class can only be used for static sources. See [18] for details.

r_diag = Enum(False, desc='False, as we do not remove autopower in this beamformer')¶

Boolean flag, always False

damp = Range(0.01, 1.0, 0.6, desc='damping factor (loop gain)')¶

iteration damping factor also referred as loop gain in Cousson et al. defaults to 0.6

n_iter = Int(100, desc='maximum number of iterations')¶

max number of iterations

result(num=2048)¶

Python generator that yields the deconvolved time-domain beamformer output.

The output starts for signals that were emitted from the Grid at t=0.

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.