Signal Processing, Spectral Analysis, Ante, Linear Algebra, Eigenvectors.
rotated sets of data were available [22]). A crucial step in most subspace techniques is the estimation of the covariance matrix from a limited number of data points. The estimation of the covariance matrix from the data is usually done with either one of the following estimators [8]: Equation 25a