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Exact(5)

As shown in Fig. 1, when the sparsity value k is relatively small, namely k ≤ 20, the probability of an exact reconstruction remains almost 100%, regardless of whether the dimensions of the measurement matrix are reduced.

The criterion 3 of the partitioner ensures that the number of fill-ins in the matrix are reduced, but they are overall significantly higher than for the individual partition matrices.

This means that if we generate a suitable random matrix (that is, if it satisfies RIP and NSP), we can also obtain a precise reconstruction, even if the dimensions of the matrix are reduced.

The modelling results show that the stress concentration in both fibre and matrix are reduced significantly by the curved fibre placement and the stiffness of CFRP composites have been improved.

The proposed approach generates a random measurement matrix, where the dimensions of the random measurement matrix are reduced to a quarter (or 1/16, 1/64, and even 1/256) of the number of dimensions, which are used for conventional CS.

Similar(55)

A generalized matrix is reduced if its Tarski congruence is the identity.

Therefore, the matrix is reduced into a scalar whose value can be 0 or 1.

First, the transform matrix is reduced to 16 additions[29] and then to 14 anditoons[30] and to 12 additions.

The viscosity of the PLA matrix was reduced by adding lignin.

This is due to the loss of channel information when the rank of the channel correlation matrix is reduced.

We say that the boundary matrix is reduced if the map low is injective on its domain of definition.

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