Sentence examples for sparsity among from inspiring English sources
The phrase "sparsity among" is correct and usable in written English.
It can be used when discussing the lack or insufficiency of something within a particular group or category. Example: "The sparsity among the available resources has made it difficult for the team to complete the project on time."
By utilizing the channel statistics and the joint sparsity among the signal vectors, a strong improvement over previous approaches is observed.
In multiuser scenario, in [13], it proposes a close-loop pilot and CSIT feedback resource adaptation framework for MU massive MIMO, and the joint sparsity among users is used for compressive channel estimation.
The coefficient ϕ≥0 in the last term of (8) promotes group sparsity among rows, [32], thus is introduced to adjust the number of nonzero columns of (hat {mathbf {M}}_{t}) needed to approximate (hat {boldsymbol {Sigma }}_{{x,t}}).
From the researches above, it can be seen that FDD massive MIMO channel estimation can benefit from the CS framework, and the support information from the previous estimated channel or from the structured sparsity among multiusers can improve the estimation performance.
We conclude that the comparison shows that Sparse Group Lasso can achieve channel selection and feature selection simultaneously, while ensuring sparsity among channels and features when maintaining an error rate equal to or lower than other methods.
Given a mixed-model decomposition of the diallel, including the possibility of outliers, unobserved diallel combinations, and unknown sparsity among the parameters, stable MLE estimates can be difficult to achieve.
Our unified framework exploits both sparsity and dependence among the features of shape descriptors in a bid to design robust shape signatures that are effective in discriminating between shapes from different classes.
The first topic is related to estimating the directions and/or the locations of multiple targets; this problem is very similar to the problem of spectral estimation dealt with in the previous section; the relations among sparsity, spectral estimation, and array processing were discussed in [123, 124].
The non-HE group had 7 modules at sparsity = 8%, among which bilateral thalami were isolated as an unconnected module).
For each experiment setting, the average overall sparsity of the eigenphone matrix among all testing speakers is shown in parentheses.
For each experiment setting, the average column sparsity of the eigenphone matrix among all testing speakers is shown in parentheses.
