Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty

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Xiaoqian Liu, Eric C. Chi

Published: 01 Jan 2022, Last Modified: 15 May 2025Pattern Recognit. Lett. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A new method for setting the matrix parameter in the linearly involved GMC is proposed.•An alternative algorithm is presented to solve the linear involved convexity-preserving model.•Two properties of the solution path are proved to help with tuning parameter selection.