# BeamformerTimeSqTraj¶

class acoular.tbeamform.BeamformerTimeSqTraj

Provides a time domain beamformer with time-dependent power signal output and possible autopower removal for a grid moving along a trajectory.

trajectory = Trait(Trajectory, desc="trajectory of the grid center")

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)), desc="reference vector")

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

result(num=2048)

Python generator that yields the squared beamformer output block-wise.

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

Parameters: num : integer, defaults to 2048 This parameter defines the size of the blocks to be yielded (i.e. the number of samples per block). 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.