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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Bibliografiske detaljer

Principais autores:	Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Open Journal of Signal Processing
Fag:	Deep unrolling difference-of-convex inverse problem non-convex optimization proximal splitting method sparse regularization
Online adgang:	https://ieeexplore.ieee.org/document/10840312/
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