BeamformerTimeTraj

class acoular.tbeamform.BeamformerTimeTraj

Bases: BeamformerTime

Provides a basic time domain beamformer with time signal output.

for a grid moving along a trajectory.

trajectory = Instance(Trajectory)

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

rvec = CArray(dtype=float, shape=(3,), value=np.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.

precision = Enum(64, 32)

Floating point and integer precision

digest = Property( …

A unique identifier for the beamformer, based on its properties. (read-only)

get_r0(tpos)

Get reference distance for grid positions.

Parameters:

tposnumpy.ndarray

Grid positions.

Returns:

float or numpy.ndarray

Reference distance(s).

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, num_channels).

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