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This paper presents a systematic routine for jointly reconstruct the state variables and the unknown inputs for a large class of nonlinear MIMO systems.
This work proposes a family of greedy algorithms to jointly reconstruct a set of vectors that are (i) nonnegative and (ii) simultaneously sparse with a shared support set.
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It achieves a classification accuracy of 73.2% even when MECG signals are jointly reconstructed using only about 10% of compressed measurements, validating the diagnosability of the reconstructed signals even at very low data rates.
Each camera j encodes a small number of random measurements y j of its observed image x j, and a single decoder jointly reconstructs all images {x j } from the ensemble of compressive measurements {y j }.
The newly produced task is applied together with the previously synthesized CS tasks as well as the original CS task in EMBSBL for jointly reconstructing the block-sparse signal.
It uses a Bayesian approach which jointly reconstructs the clonal relationships between the taxa in a sample and the location of recombination events that have disrupted the clonal signal.
The branch specific variation of dN/dS in AMBN across the mammalian species tree was jointly reconstructed from the complete 56-taxa dataset with divergence times while controlling the effect of life-history traits [ 83] using the Bayesian framework implemented in the CoEvol program [ 84].
In MCS, the correlation among θ i is explored so that θ i are reconstructed jointly.
While DCS encoding is non-collaborative, an effective DCS decoder should reconstruct all signals jointly to exploit their common structure.
They first classify tasks into different groups and then reconstruct signals from each cluster jointly.
First, one can collect the proposed bio-markers in literature as being the preliminary candidate; Second, a spanning-tree based threshold can be used to reconstruct gene networks for normal and cancer samples; Third, by jointly using of degree changes and distribution of the candidates in communities, one can filter out the low-confident genes.
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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