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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156401/ https://www.ncbi.nlm.nih.gov/pubmed/34068901 http://dx.doi.org/10.3390/e23050605 |