BeamformerDamasPlus¶

class
acoular.fbeamform.
BeamformerDamasPlus
¶ Bases:
acoular.fbeamform.BeamformerDamas
DAMAS deconvolution, see Brooks and Humphreys, 2006, for solving the system of equations, instead of the original GaussSeidel iterations, this class employs the NNLS or linear programming solvers from scipy.optimize or one of several optimization algorithms from the scikitlearn module. Needs apriori delayandsum beamforming (
BeamformerBase
).
method
= Trait('NNLS','LP','LassoLars', 'OMPCV', desc="method used for solving deconvolution problem")¶ Type of fit method to be used (‘LassoLars’, ‘OMPCV’, ‘LP’, or ‘NNLS’, defaults to ‘NNLS’). These methods are implemented in the scikitlearn module or within scipy.optimize respectively.

max_iter
= Int(500, desc="maximum number of iterations")¶ Maximum number of iterations, tradeoff between speed and precision; defaults to 500

unit_mult
= Float(1e9, desc = "unit multiplier")¶ 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.

calc
(self, ac, fr)¶ Calculates the DAMAS result for the frequencies defined by
freq_data
This is an internal helper function that is automatically called when accessing the beamformer’s
result
or calling itssynthetic()
method. Parameters
 acarray of floats
This array of dimension ([number of frequencies]x[number of gridpoints]) is used as callbyreference parameter and contains the calculated value after calling this method.
 frarray of booleans
The entries of this [number of frequencies]sized array are either ‘True’ (if the result for this frequency has already been calculated) or ‘False’ (for the frequencies where the result has yet to be calculated). After the calculation at a certain frequency the value will be set to ‘True’
 Returns
 This method only returns values through the ac and fr parameters
