Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach
This paper proposes a sparse regularization method with a novel sorted regularization function. Sparse regularization is commonly used to solve underdetermined inverse problems. Traditional sparse regularization functions, such as <inline-formula><tex-math notation="LaTeX">$L_{1}$</tex-math></inline...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Open Journal of Signal Processing |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10840312/ |
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