pyPDAF.PDAF.seik_omega¶

pyPDAF.PDAF.seik_omega()¶

Generation of a random matrix with orthogonal basis following SEIK approach.

Parameters:

omega (ndarray[tuple[rank+1, rank], np.float64]) –
Matrix Omega

The1st-th dimension rank is Approximated rank of covar matrix;
omegatype (int) –

Select type of Omega:
(1) generated from random vectors (0) generated from deterministic vectors (Householder)
screen (int) – Verbosity flag

Returns:

omega – Matrix Omega

The 1st-th dimension rank is Approximated rank of covar matrix

Return type:

ndarray[tuple[rank+1, rank], np.float64]

pyPDAF