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Figure 4 The formants components isolated by using the eigenvalues decomposition method.
Figure 2 An illustration of the formants reconstruction by using the eigenvalues decomposition method.
The eigenvalues and eigenvectors are obtained by using the eigenvalues decomposition of.
One achievement is that a general frequency response function (GFRF) is defined by estimating the coefficients, poles and zeros of the structure, rather than by using the eigenvalues and eigenvectors.
Furthermore, the semigroup T ( t ) can be easily constructed by using the eigenvalues and eigenfunctions of a differential operator A. For this reason, we first consider the following eigenvalue problem: This problem is called a Sturm-Liouville problem.
Moreover, the semigroup S ( t ) can be easily constructed by using the eigenvalues and eigenfunctions of the infinitesimal generator B. Hence we first consider the following eigenvalue problem: B ϕ ( x ) = λ ϕ ( x ), ϕ ( 0 ) = 0 ; ϕ x ( x 0 ) = 0. (19).
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Define a family of linear differential operators L by using the eigenvalue problem L ψ = λ ψ. (31).
We show that by using the eigenvalue theorem in Algebraic Geometry, a numerical method can be developed to design a superconducting cable satisfying a predetermined current distribution.
The large sizes of the stiffness and mass matrices, obtained in the case of a three-dimensional element analysis, are reduced by using the eigenvalue economizer technique.
The objective (19) can be solved by using the eigenvalue decomposition (EVD) of D D H, i.e., {mathbf{DD}}^{H}= {mathbf{U}} {boldsymbol{Lambda}} {mathbf{U}}^{H}, (20).
(19) The objective (19) can be solved by using the eigenvalue decomposition (EVD) of D D H, i.e., {mathbf{DD}}^{H}= {mathbf{U}} {boldsymbol{Lambda}} {mathbf{U}}^{H}, (20) where U is a unitary matrix, and Λ is a real diagonal matrix in which the diagonal entries are the eigenvalues of D D H.
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