Robust Sparse Recovery in Impulsive Noise via M-Estimator and Non-Convex Regularization

Robust Sparse Recovery in Impulsive Noise via M-Estimator and Non-Convex Regularization

Robust sparse recovery aims at recovering a sparse signal or image from its compressed and contaminated measurements. Under the impulsive noise condition, the performance of traditional sparse recovery algorithms may deteriorate seriously for exploiting &#x2113;<sub>2</sub>-norm to m...

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Bibliographic Details
Main Authors: Le Gao, Dongjie Bi, Xifeng Li, Libiao Peng, Weijie Xu, Yongle Xie
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Robust sparse recovery
alternating direction method of multipliers (ADMM)
half-quadratic (HQ) optimization
M-estimator
impulsive noise
Online Access:https://ieeexplore.ieee.org/document/8651489/

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https://ieeexplore.ieee.org/document/8651489/

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