Year: 2026
Type: preprint
Abstract: The logistic smooth-to-hard shrinker is the proximal map of an explicit saturating spectral penalty for general linear inverse problems. Its exact weak convexity yields a unique scaled update and proximal-gradient stationarity guarantees, while independent validation provides finite-grid parameter-selection control. We use MRI as an illustrative example.
Source: arXiv (Cornell University)
Authors: Yang, Guanzhong, Wang, Zi, Yang, Guang
Institution: Imperial College London
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222710415