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Gradient Projection with Approximate L(0) Norm Minimization for Sparse Reconstruction in Compressed Sensing
In the reconstruction of sparse signals in compressed sensing, the reconstruction algorithm is required to reconstruct the sparsest form of signal. In order to minimize the objective function, minimal norm algorithm and greedy pursuit algorithm are most commonly used. The minimum L(1) norm algorithm...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210964/ https://www.ncbi.nlm.nih.gov/pubmed/30304858 http://dx.doi.org/10.3390/s18103373 |