Your English writing platform
Discover LudwigSuggestions(1)
Similar(60)
The detection of those informative sensors, which are typically a small portion of the sensor network, is taking place by using a sparsity-aware matrix decomposition technique.
Fig. 1 Dynamic rainfall monitoring using a sparsity exploiting framework.
The number of targets can also be jointly estimated in this process using a sparsity constraint.
The maximum slip estimated using a sparsity constraint was comparable to other studies.
This comparison can be further formalized by using a quantitative measure of sparsity.
Huang and Zhang [13] developed a theory for the mixed l 2/l 1-minimization by using a concept called strong group sparsity and they demonstrated that the mixed norm minimization is very efficient for recovering strongly group-sparse signals.
Another possible approach to improve the spatial resolution of the DOT image is to use a sparsity constraint.
We adopt the linear model frequently used in the ODE setting [ 1, 2, 4, 5, 12], but use a sparsity-enforcing prior on the network matrix.
A Conjugate Gradient-based reconstruction algorithm using Compressive Sensing was designed to take advantage of this sparsity, using a multistage sparsity reduction approach to remove the need to choose sparsity weighting a priori.
Unlike blind sequential detection methods designed for general channels, the proposed method exploits the channel sparsity by using estimated channel sparsity to assist in the detection of the transmitted sequence.
The CS-based imaging method must solve an ill-posed linear inverse problem by using the sparsity of targets [12, 49 51].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com