Gradient Projection with Approximate L0 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 L1 norm algorithm h...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2018-10-01
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| Серія: | Sensors |
| Предмети: | |
| Онлайн доступ: | http://www.mdpi.com/1424-8220/18/10/3373 |
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