Sentence examples for 1 sparsity from inspiring English sources

Figure 1 Sparsity: explicite sparse signals.

Figure 1 Sparsity of three types of speech over K – L incoherent dictionary.

In general, sparsity can arise in a sensor network from two main perspectives: (1) Sparsity of node distribution in spatial terms   (2) Sparsity of the field to be estimated  . Sparsity of node distribution in spatial terms.

For p = 1, sparsity is induced in the weight vector w.

An l p (0 < p ≤ 1) sparsity regularization is applied to time-domain diffuse optical tomography with a gradient-based nonlinear optimization scheme to improve the spatial resolution and the robustness to noise.

To improve the spatial resolution and the robustness to noise, the l p (0 < p = 1) sparsity regularization is applied to the time-domain diffuse optical tomography with the gradient-based nonlinear optimization scheme.

Figure 4 Sparsity analysis of human motion.

Figure 3 Sparsity: explicite sparse images.

Second, we used an evaluation function that only included the L1 sparsity regularization term (Eq. 3), called sparsity.

Figure 6 Sparsity of matrix pencil ( E, A ). Figure 7 Sparsity of matrix pencil ( E ˜, A ˜ ). Figure 8 Output solutions of Example 5.

Figure 5 Sparsity enhancement obtained with the over-complete dictionary corresponding to λ =2.