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The Noise Collector for sparse recovery in high dimensions
The ability to detect sparse signals from noisy, high-dimensional data is a top priority in modern science and engineering. It is well known that a sparse solution of the linear system [Formula: see text] can be found efficiently with an [Formula: see text]-norm minimization approach if the data are...
Tallennettuna:
| Julkaisussa: | Proc Natl Acad Sci U S A |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
National Academy of Sciences
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7260980/ https://ncbi.nlm.nih.gov/pubmed/32393628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1913995117 |
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