 This method assumes that a signal, formula_1, consists of formula_2 complex exponentials in the presence of Gaussian white noise.Given an formula_3 autocorrelation matrix, formula_4, if the eigenvalues are sorted in decreasing order, the eigenvectors corresponding to the formula_2 largest eigenvalues (i.e.directions of largest variability) span the signal subspace.