Acoular 21.05 documentation

fbeamform

«  SlotJet   ::   Reference Manual   ::   SteeringVector  »

fbeamform

Implements beamformers in the frequency domain.

SteeringVector

Basic class for implementing steering vectors with monopole source transfer models

BeamformerBase

Beamforming using the basic delay-and-sum algorithm in the frequency domain.

BeamformerFunctional

Functional beamforming after Dougherty, 2014.

BeamformerCapon

Beamforming using the Capon (Mininimum Variance) algorithm, see Capon, 1969.

BeamformerEig

Beamforming using eigenvalue and eigenvector techniques, see Sarradj et al., 2005.

BeamformerMusic

Beamforming using the MUSIC algorithm, see Schmidt, 1986.

BeamformerClean

CLEAN deconvolution, see Hoegbom, 1974.

BeamformerDamas

DAMAS deconvolution, see Brooks and Humphreys, 2006.

BeamformerDamasPlus

DAMAS deconvolution, see Brooks and Humphreys, 2006, for solving the system of equations, instead of the original Gauss-Seidel iterations, this class employs the NNLS or linear programming solvers from scipy.optimize or one of several optimization algorithms from the scikit-learn module.

BeamformerOrth

Orthogonal beamforming, see Sarradj, 2010.

BeamformerCleansc

CLEAN-SC deconvolution, see Sijtsma, 2007.

BeamformerCMF

Covariance Matrix Fitting, see Yardibi et al., 2008.

BeamformerGIB

Beamforming GIB methods with different normalizations,

PointSpreadFunction

The point spread function.

L_p(x)

Calculates the sound pressure level from the squared sound pressure.

integrate(data, grid, sector)

Integrates a sound pressure map over a given sector.

«  SlotJet   ::   Reference Manual   ::   SteeringVector  »