3 citations · 3 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
The Proximity Operator of the Log-Sum Penalty
Ashley Prater-Bennette, Lixin Shen, Erin E. Tripp
The log-sum penalty is often adopted as a replacement for the pseudo-norm in compressive sensing and low-rank optimization. The hard-thresholding operator, i.e., the proxi…