[15] indicates that by precoding the transmitted signals along the weakest
eigenvector of the unintended user's channel covariance matrix, the inter-user interference can be effectively suppressed.
And the optimal projection space X can be determined by the spread of
eigenvector Y.
However, there are more ways for how to calculate the
eigenvector components.
Similarly, "2-reach centrality" was used to explore the proportion of nodes that can reach a given node in 2 steps or less while "
eigenvector centrality" was used to measure the importance of a node depending on the importance of its neighbours.
Then, these two operators have common eigenstates in [H.sub.q], say |[[psi].sub.i](q)>, but there is no
eigenvector in [H.sub.q] [cross product] [H.sub.t] that can simultaneously satisfy both Schrodinger equations (3) and (5).
Form the column image vectors and find out the all scatter matrix values, and then with the use of this scatter values, find the eigenvalues and
eigenvector matrix.
where the signal
eigenvector matrix [E.sub.s] = [[e.sub.0], ..., [e.sub.M-1]] contains M
eigenvectors that span the signal subspace of the correlation matrix, the noise
eigenvector matrix [E.sub.N] = [[e.sub.M], ..., [g.sub.N-1]] indicates N-M
eigenvectors spanning the noise subspace of the correlation matrix, and [[lambda].sub.n] denotes the n-th eigenvalues of [R.sub.s].
[20] extracted the
eigenvector of RGB color moment and the Munsell color moment from the images.