BeamformerSODIX

class acoular.fbeamform.BeamformerSODIX

Bases: BeamformerBase

Source directivity modeling in the cross-spectral matrix (SODIX) algorithm.

See [12] and [13] for details.

method = Enum('fmin_l_bfgs_b')

Type of fit method to be used (‘fmin_l_bfgs_b’). These methods are implemented in the scipy module.

n_iter = Int(200)

Maximum number of iterations, tradeoff between speed and precision; defaults to 200

alpha = Range(0.0, 1.0, 0.0)

Weight factor for regularization, defaults to 0.0.

unit_mult = Float(1e9)

Unit multiplier for evaluating, e.g., nPa instead of Pa. Values are converted back before returning. Temporary conversion may be necessary to not reach machine epsilon within fitting method algorithms. Defaults to 1e9.

r_diag_norm = Enum(None)

Energy normalization in case of diagonal removal not implemented for inverse methods.

digest = Property( …

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