BeamformerTime¶

class acoular.tbeamform.BeamformerTime¶

Bases: TimeOut

Provides a basic time domain beamformer with time signal output for a spatially fixed grid.

source = Instance(SamplesGenerator)¶

Data source; SamplesGenerator or derived object.

steer = Property(desc='steering vector object')¶

SteeringVector or derived object. Defaults to SteeringVector object.

numchannels = Delegate('grid', 'size')¶

Number of channels in output (=number of grid points).

weights = Trait('none', possible_weights, desc='spatial weighting function')¶

Spatial weighting function.

result(num=2048)¶

Python generator that yields the time-domain beamformer output.

The output time signal starts for source 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.