Sentence examples for jointly sparse from inspiring English sources
Meanwhile, two detection algorithms respectively based on matrix completion and jointly sparse recovery were also proposed to recover the channel occupancy, while the relatively faster jointly sparse recovery algorithm still involves multiple constrained optimization sub-problems.
Our problem formulation renders the corresponding signal vectors jointly sparse, which in turn enables the utilization of CS.
We intend to compute the overall probability that the nth entry of all N B jointly sparse vectors x b is zero respectively nonzero (since we have jointly sparse vectors, these are the only relevant cases; either all nth entries are zero, or all nth entries are nonzero).
JSDA introduces the jointly sparse regular term (i.e. L2,1-norms term) to the criterion.
In the following, we demonstrate how to obtain jointly sparse signal vectors in CS-RFID.
In this article, we propose a weighted ℓ2,1 minimization algorithm for jointly-sparse signal recovery problem.
where the vector n(t) denotes an additive noise vector with zero-mean and variance σ2, the vector x t) is the jointly-sparse signals and the support is independent of the snapshot t[1].
bAlthough the indices of non-zero rows of x t) are dependent of the snapshot t for the moving sources, x t) can still be seen as the jointly-sparse signals providing the number of snapshots T is very small.
In this article, we proposed an effective weighted ℓ2,1 minimization algorithm that exploits the relationship between the noise subspace and the overcomplete basis matrix to obtain the weights for the jointly-sparse signal recovery problem.
In this equation, the P matrix captures group sparsity by jointly selecting sparse features across tasks while the Q matrix captures jointly selected sparse samples thus capturing outlier tasks.
