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This decoupling allows using parameter-dependant stability matrices and obtained LMI stability analysis condition is always less conservative than the one involving a single stability matrix.
(2) Decision-Directed Adaptive Step: the output of the training step is the channel matrices and obtained by the GA-based optimizer parameterized in such a way to "learn" the channel in reliable way.
In this case, by choosing matrix as with matrices and obtained from the eigen-value decomposition of the channel covariance matrix, that is,, one can generate a transformed codebook whose point density is equal to the optimal point density function.
In recent years, the present author reconsidered the maximal and minimal ranks of matrix expressions or partial matrices by using some tricky operations on block matrices and generalized inverses of matrices, and obtained many new formulas for maximal and minimal ranks of matrix expressions or partial matrices and their applications, see [4, 6, 9, 21 28].
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We also define the notions of weighted almost conservative and regular matrices and obtain necessary and sufficient conditions for these matrix classes.
As above, we repeat the experiment 100 times, each with randomly generated channel matrices, and obtain the average per-flow throughput of the 100 experiments.
The proposed technique compensates the within-class variability by using class-dependent factor loading matrices and obtains the scores by computing the log-likelihood ratio for the class model to a non-class model over fixed-length windows.
In this paper, we add three similar matrices and obtain a sum matrix.
ACs and co-cultures showed similarly high collagen II/I expression ratio and GAG rich matrix formation, whereas MSCs produced the least hyaline cartilage-like matrix and obtained a hypertrophic phenotype with eventual calcification.
In [5], the authors studied a special case ((B=0), zero matrix) and obtained the existence and multiplicity of periodic solutions.
The state space method makes use of the singular value decomposition (SVD) to form a well-conditioned data matrix and obtains the modal parameters through the eigendecomposition of the data matrix.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com