A Regularized Weighted Smoothed <i>L</i><sub>0</sub> Norm Minimization Method for Underdetermined Blind Source Separation

A Regularized Weighted Smoothed <i>L</i><sub>0</sub> Norm Minimization Method for Underdetermined Blind Source Separation

Compressed sensing (CS) theory has attracted widespread attention in recent years and has been widely used in signal and image processing, such as underdetermined blind source separation (UBSS), magnetic resonance imaging (MRI), etc. As the main link of CS, the goal of sparse signal reconstruction i...

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Bibliographic Details
Main Authors: Linyu Wang, Xiangjun Yin, Huihui Yue, Jianhong Xiang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
image reconstruction
nullspace measurement matrix
regularized least squares problem
smoothed <i>L</i><sub>0</sub>-norm
sparse signal recovery
UBSS
weighted function
Online Access:https://www.mdpi.com/1424-8220/18/12/4260

Internet

https://www.mdpi.com/1424-8220/18/12/4260

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