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This type of matrices occurs in cognitive radio [45].
This type of matrices can be easily generated under (mathcal {H}_{0}) by considering a certain correlation between different dimensions of the CR system.
In this paper, we use such type of matrices, which have many applications in various fields, to study the summability problem of the conjugate derived Fourier series.
Genetic regression is compared with stepwise regression and all-subsets regression that has been proposed to solve this type of matrices.
The evaluation of the salting out effect showed a significant improvement in the volatilization of VOCs to the HS in this type of matrices.
The main purpose of this study is to evaluate the efficiency of a class of incomplete LU (ILU) factorization preconditioners for solving this type of matrices.
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Third, the dual of this type of matroid is induced by the second type of matrix.
The DSF algorithm for computing eigenvalues of a type of matrix eigenvalue problems is designed.
We show that this type of matrix is valid as compressed sensing measurements.
Therefore, the degradation of these products is linked to their physico-chemical properties and the type of matrix.
Another important parity check type of matrix is put together using H0 and its d successive downward shifted versions [19].
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