Your English writing platform
Discover LudwigSuggestions(5)
Exact(25)
Below, we show that the symmetrized error covariance matrix satisfies the Riccati equation (12).
And, reference [14] proves that the Toeplitz matrix satisfies the RIP.
Hence, the measurement matrix satisfies the RIP, making it possible to recover the sparse Gabor coefficient matrix perfectly.
We demonstrate the block-RIP of the NYFR deterministically by using the property that the Toeplitz matrix satisfies the RIP.
However, we show that its constraint matrix satisfies the total unimodularity property, and hence our problem can be optimally solved in polynomial time using linear programming (LP).
According to the CS theory, one can guarantee an exact recovery when the filter coefficient matrix satisfies the restricted isometry property (RIP) [20].
Similar(35)
Finally, we process the matrix orthogonal normalization to make the matrix satisfy the conditions for RIP approximately.
It should be noted that both the first and second eigenvalues of the input covariance matrix satisfy the above equation.
Now by virtue of Theorem 3.1, all elements of the th row of Green's matrix satisfy the inequalities for and, using [14], we can conclude that for.
Then problem (5.1), (5.3) is uniquely solvable for every summable and, and the elements of the th row of its Green's matrix satisfy the inequalities: for while for.
We consider only those flow vectors which, by taking convex combination of the basis vectors spanning the null space of the given node-edge incidence matrix, satisfy the quasi-steady state condition along with other inequality constraints.
Write better and faster with AI suggestions while staying true to your unique style.
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