Sentence examples for matrices that minimize from inspiring English sources

Unfortunately, matrices that minimize Equation 21, and hence optimize the cutoff rate, do not admit a closed form solution.

The MMSE design of the DF MIMO receiver searches for the filtering and permutation matrices that minimize the variance of the error vector ε t, p [ n ] = Pu [ n ] - u ^ t [ n ].

As explained in [5], the MMSE THP design searches for the filtering and permutation matrices that minimize the variance of the error vector ε t [ n ] = P T Bv [ n ] - d ^ t [ n ] = ε [ n ] - g H η t [ n ], where ε[n] = P T B v[n] - gy[n] is the error vector when there is no Tx-noise.

Here, we selected nuclear genes from those matrices that minimized missing data and maximized taxon coverage to resolve the question at hand.

As aforementioned above in Assumption 1, the optimal training matrix that minimizes the MSE should satisfy P d P d H = N σ P d 2 I K.

As it has been shown in[1], the optimal training matrix that minimizes the MSE under a constant training energy N 1 σ P t 2 should satisfy.

Future work in this sense should be performed in order to identify the physico-chemical properties of the PSi matrix that minimizes the oxidation in such hybrid materials.

We use the trellis exploration algorithm to design a precoding matrix that minimizes the interference from other users by allocating power in the appropriate eigenmodes.

Although in reality the calibration of the eye-tracker will rarely be perfect, to the extent that it is reasonably good the T matrix that minimizes the cost function can be expected to be relatively close to the identity matrix.

Based on this, the optimal T can be defined as the matrix that minimizes the mean distance between each fixation contained in F and the coordinates of the center of its closest stimulus.

For example, seeking the column ordering for a non-COP matrix that minimizes the number of gaps between the ones in each row can be reduced to the traveling salesman problem [ 24].