BeamformerCleantTraj¶

class acoular.tbeamform.BeamformerCleantTraj¶

Bases: BeamformerCleant, BeamformerTimeTraj

CLEANT deconvolution method.

An implementation of the CLEAN method in time domain for moving sources with known trajectory. See [20] for details.

precision = Enum(32, 64, desc='numeric precision')¶

Floating point and integer precision

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, num_channels).

num_channels is usually very large (number of grid points). The last block returned by the generator may be shorter than num.