BeamformerGridlessOrth¶
- class acoular.fbeamform.BeamformerGridlessOrth¶
Bases:
BeamformerAdaptiveGrid
Orthogonal beamforming without predefined grid.
See [16] for details.
- eva_list = CArray(dtype=int, value=array([-1]), desc='components')¶
List of components to consider, use this to directly set the eigenvalues used in the beamformer. Alternatively, set
n
.
- n = Int(1)¶
Number of components to consider, defaults to 1. If set,
eva_list
will contain the indices of the n largest eigenvalues. Settingeva_list
afterwards will override this value.
- bounds = List(Tuple(Float, Float), minlen=3, maxlen=3, value=[(-1.0, 1.0), (-1.0, 1.0), (0.01, 1.0)])¶
Geometrical bounds of the search domain to consider.
bound
is a list that contains exactly three tuple of (min,max) for each of the coordinates x, y, z. Defaults to [(-1.,1.),(-1.,1.),(0.01,1.)]
- shgo = Dict¶
options dictionary for the SHGO solver, see scipy docs. Default is Sobol sampling Nelder-Mead local minimizer, 256 initial sampling points and 1 iteration
- r_diag_norm = Enum( …¶
No normalization implemented. Defaults to 1.0.
- set_eva_list()¶
Sets the list of eigenvalues to consider.