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For vectors and matrices, the superscript T denotes its transpose, and ∗ denotes its transpose conjugate.
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Here J : = ( 0 I − I 0 ) is the canonical 2 n × 2 n skew-symmetric matrix, the superscript X ∗ denotes the complex conjugation, the matrices S k and are symplectic, and system ( S λ ) can be viewed as a linear perturbation of the symplectic system (S0), i.e., z k + 1 = S k z k.
All the matrices with the superscript ∗ have as many columns as the corresponding region, r, has technologies.
Put together, the disease-protein-complex network can be represented using a block matrix, as (1) H = (D A 0 A T P B 0 B T 0 ), where 0 stands for a zero matrix and the superscript T stands for the transposition of a matrix.
Note that, throughout this paper, a lowercase boldface letter denotes a vector, an uppercase boldface letter indicates a matrix and the superscript T signifies the vector/matrix transpose.
|A| denotes the determinant of matrix A. The superscripts H, and −1 represent the conjugate transpose operator, and the matrix inverse, respectively.
If a matrix is invertible, the superscript '-1' represents the matrix inverse.
If we compensate for the matrix (removing the superscripts corresponding to different channel realizations), with the raw estimates of receiver IQ imbalance gain parameter, the resulting matrix is given as (30).
Let (3) (4) (5)and (6 where x ≡ (x1, x2) T, Σ is a covariance matrix (7)and the superscript T stands for the transpose of a matrix or vector.
where K * is the adjoint matrix of K, the superscript of F denotes iterative steps, and L ( F m ) represents ellipse differential coefficient operator.
where the covariance matrix with and and the superscript denotes conjugate transpose, according to [4].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com