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

  The 1st-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]