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A Novel Sparsity Adaptive Algorithm for Underwater Acoustic Signal Reconstruction
In view of the fact that most of the traditional algorithms for reconstructing underwater acoustic signals from low-dimensional compressed data are based on known sparsity, a sparsity adaptive and variable step-size matching pursuit (SAVSMP) algorithm is proposed. Firstly, the algorithm uses Restric...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269725/ https://www.ncbi.nlm.nih.gov/pubmed/35808513 http://dx.doi.org/10.3390/s22135018 |