# BeamformerTimeTraj¶

class acoular.tbeamform.BeamformerTimeTraj

Provides a basic time domain beamformer with time signal output for a grid moving along a trajectory.

trajectory = Trait(Trajectory, …

Trajectory or derived object. Start time is assumed to be the same as for the samples.

rvec = CArray( dtype=float, shape=(3, ), value=array((0, 0, 0)), …

Reference vector, perpendicular to the y-axis of moving grid.

conv_amp = Bool(False, …

Considering of convective amplification in beamforming formula.

get_moving_gpos()

Python generator that yields the moving grid coordinates samplewise

result(num=2048)

Python generator that yields the beamformer output block-wise.

Optional removal of autocorrelation. The “moving” grid can be translated and optionally rotated.

Parameters
numinteger, defaults to 2048

This parameter defines the size of the blocks to be yielded (i.e. the number of samples per block).

Returns
Samples in blocks of shape (num, numchannels).

numchannels is usually very large (number of grid points). The last block may be shorter than num. The output starts for signals that were emitted from the grid at t=0.