BeamformerTimeSq

class acoular.tbeamform.BeamformerTimeSq

Bases: BeamformerTime

Time domain beamformer with squared output and optional autopower removal.

Provides a time domain beamformer with time-dependend power signal output and possible autopower removal for a spatially fixed grid.

r_diag

Boolean flag, if ‘True’ (default), the main diagonal is removed before beamforming.

digest

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

result(num=2048)

Python generator that yields the squared time-domain beamformer output.

The squared 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.

source

Data source; SamplesGenerator or derived object.

steer

Instance of SteeringVector or its derived classes that contains information about the steering vector. This is a private trait. Do not set this directly, use steer trait instead.

num_channels

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

weights

Spatial weighting function.

sample_freq

Sampling frequency of output signal, as given by source.

num_samples

Number of samples in output, as given by source.