Sharpening Sparse Regularizers via Smoothing

Non-convex sparsity-inducing penalties outperform their convex counterparts, but generally sacrifice the cost function convexity. As a middle ground, we propose the <italic>sharpening sparse regularizers</italic> (SSR) framework to design non-separable non-convex penalties that induce sp...

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Bibliographic Details
Main Authors: Abdullah H. Al-Shabili, Yining Feng, Ivan Selesnick
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9512409/