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On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel
Motivated by applications in unsourced random access, this paper develops a novel scheme for the problem of compressed sensing of binary signals. In this problem, the goal is to design a sensing matrix A and a recovery algorithm, such that the sparse binary vector [Formula: see text] can be recovere...
Tallennettuna:
| Julkaisussa: | Entropy (Basel) |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8156401/ https://ncbi.nlm.nih.gov/pubmed/34068901 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23050605 |
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