A Reweighted Symmetric Smoothed Function Approximating <i>L</i><sub>0</sub>-Norm Regularized Sparse Reconstruction Method

A Reweighted Symmetric Smoothed Function Approximating <i>L</i><sub>0</sub>-Norm Regularized Sparse Reconstruction Method

Sparse-signal recovery in noisy conditions is a problem that can be solved with current compressive-sensing (CS) technology. Although current algorithms based on <inline-formula> <math display="inline"> <semantics> <msub> <mi>L</mi> <mn>1</mn>...

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Bibliographic Details
Main Authors: Jianhong Xiang, Huihui Yue, Xiangjun Yin, Guoqing Ruan
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Symmetry
Subjects:
<i>L</i><sub>0</sub> regularization mechanism
reweighted function
smoothed symmetric CT function
sparse signal and image recovery
unconstrained optimization
Online Access:https://www.mdpi.com/2073-8994/10/11/583

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https://www.mdpi.com/2073-8994/10/11/583

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