Sentence examples for matrix with columns from inspiring English sources

Here is an eigenvector matrix with columns corresponding to the largest eigenvalues of the matrix, where is the Hermitian transpose of the channel matrix.

where Q p ∈ M m p is a matrix with columns p linear independent (generalized) eigenvectors of the p finite eigenvalues of s F − G, and Q q ∈ M m q is a matrix with columns q linear independent (generalized) eigenvectors of the q infinite eigenvalues of s F − G. Lemma 2.1 Consider the system (1) with a regular pencil.

where Q p ∈ M m p is a matrix with columns the p linear independent (generalized) eigenvectors of the p finite eigenvalues of sF-G and Q p ∈ M m q is a matrix with columns the q linear independent (generalized) eigenvectors of the q infinite eigenvalues of sF-G.

where Q p ∈ M m p is a matrix with columns the p linear independent (generalized) eigenvectors of the p finite eigenvalues of sF-G and Q q ∈ M m q is a matrix with columns the q linear independent (generalized) eigenvectors of the q infinite eigenvalues of sF-G.

We call (S^{u}) (resp. (S^{theta})) the matrix with columns equal to the coordinates of (textbf{u}(R_{i})) (resp. (theta(R_{i}))) in the reduced basis (psi^{textbf{u}}_{j}) (resp. (psi^{theta}_{j})), (j=1,dots,N).

When Q is an (ntimes m) matrix with columns (q_{1}, q_{2},dots, q_{k}), (Q^{k}) is the exterior product (q_{1} wedge q_{2} wedgecdotswedge q_{k}).

UMTS [12] 1st Matrix with column permutation 4.4 1 51.5 8 UMTS [12] 2nd Matrix with column permutation 4.4 1 18.8 8 UMTS [12] HSDPA Demux, matrix with column permutation 42.0 1 1.9 8 WiMAX [13] Bit inv Matrix interleaver, algebraical interleaver.

For a complex-valued matrix with column dimension M > 2, the existence condition of JGMD is still an open issue.

The conversion of a distance graph into matrix form produces an adjacency matrix with column weight of two and girth double that of the graph.

The coherence of a sensing matrix with column norms 1 is given by mu(boldsymbol{Phi}) = max_{ineq j} |langle phi_{i}, phi_{j} rangle | (14).

Standard silicon microelectronics technology is very attractive for use in microdisplays, because it is the shortest way to highest pixel densities and integration of matrix with column and row drivers into a common chip.