Sentence examples for be a random matrix from inspiring English sources

Until now, papers on CS always assume the projection matrix to be a random matrix.

Let the measurement matrix Φ t) be of full-row rank i.e., Rank Φ t)) = M/t (t > 1)—and be a random matrix, such as Gaussian N 0, 1/(M/t)) with i.i.d.i.d

The measurement matrix is a random matrix and OMP algorithm is chosen for the reconstruction algorithm.

If P is a random matrix, the following are equivalent: (i) P is aperiodic and irreducible.

In many practical cases A is a random matrix and the e.s.d.s.d

A M × N is a random matrix where every element of A is in ( 0, 1 ) satisfying Γ ≠ ∅.

When D = [d ij ] is a random matrix, x i can converge in some specific conditions [22].

We define the norm of random matrices as follows: | G |_{L^{2}(Omega,P)} = bigl[Ebigl |G|^{2}bigr) bigr]^{frac{1}{2}}, (5) where G is a random matrix and (|cdot|) is the operator norm.

First two dictionaries are chosen as the initializations, one is the redundant DCT dictionary (Figure 5a) and the other is a random matrix whose atom is randomly chosen from the training data (Figure 5b).

According to the transmission scheme we described, we can further write mathbf{T}_{j} = mathbf{S}_{j}mathbf{H}_{j} where S j is an m×M j random matrix corresponding to the linear combinations performed by the source node, and H j is a random matrix with M j rows corresponding to the linear operations performed by intermediate nodes as well as the random packet losses over the network links.

The simulation model can be expressed as X σ = Y + N σ, where N σ is a random matrix representing Gaussian noise and whose entries were drawn from a standard normal distribution with zero mean and standard deviation, σ.