Robust sparse recovery via a novel convex model

作者：

Highlights：

• In this paper, we propose a new convex model to recover the original signal x whether the noise is Gaussian or impulsive.

• If restricted isometry constant δts

• In Section 3, we present several reliable numerical experiments to show that our model has excellent recovery performance for signals with different noise.

摘要

•In this paper, we propose a new convex model to recover the original signal x whether the noise is Gaussian or impulsive.•If restricted isometry constant δts

论文关键词：Restricted isometry property,Dantzig selector,Basis pursuit

论文评审过程：Received 4 February 2020, Revised 12 December 2021, Accepted 3 January 2022, Available online 11 January 2022, Version of Record 11 January 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.126923