Signal Processing, Spectral Analysis, Ante, Linear Algebra, Eigenvectors.
M-1), λ a scalar, Rₙ and is the (M x M) covariance matrix of the noise (which does not have to be necessarily white). Using orthogonal decompositions of (23), powerful subspace techniques emerge. For instance, detecting the number of sources impinging on the array can be seen as the same problem of