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Thus, these two variance matrices cannot be estimated simultaneously.
The free volume provides the primary effect on the polarized light-induced anisotropy, but the local polarity effect of matrices cannot be ignored for the anisotropy of DO3.
Consequently, the Kalman filter (KF) [2, 3] or its nonlinear extensions [4, 5] that require the storage and processing of n×n covariance matrices cannot be applied directly.
While the notation for adding weighting matrices has been previously introduced, typical strategies for developing weighting matrices cannot be applied to the HBID method since the variance structure of each observation is identical.
If the non-proportional parts of the relevant matrices cannot be neglected, a fast converging iterative procedure allows one to plot the Campbell diagram in a fraction of the time needed by the usual techniques.
Although, synthesis result based on the use of parameter-dependant matrices cannot be proved to be always less conservative than the quadratic one, significant improvement is obtained on a numerical example.
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Thus the function of SMAs inside the matrix cannot be fully utilized.
Therefore, the asymptotic covariance matrix cannot be determined and an approximation has to be found.
Note that such a public orthogonal matrix cannot be used in the pixel value-encrypted domain.
Strong compressive strain by an oxide matrix cannot be considered in this case.
When met with fast-fading channels, the Fourier-domain matrix cannot be diagonalized.
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