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math.OC2025
Signal and Image Recovery with Scale and Signed Permutation Invariant Sparsity-Promoting Functions
Jianqing Jia, Ashley Prater-Bennette, Lixin Shen
Sparse signal recovery has been a cornerstone of advancements in data processing and imaging. Recently, the squared ratio of to norms, , has be…
math.OC2024
Sparse Recovery: The Square of Norms
Jianqing Jia, Ashley Prater-Bennette, Lixin Shen +1
This paper introduces a nonconvex approach for sparse signal recovery, proposing a novel model termed the -model, which utilizes the squared norms for this pur…
math.OC2024
Computing Proximity Operators of Scale and Signed Permutation Invariant Functions
Jianqing Jia, Ashley Prater-Bennette, Lixin Shen
This paper investigates the computation of proximity operators for scale and signed permutation invariant functions. A scale-invariant function remains unchanged under uniform scal…