Minimization of the logarithmic function in sparse recovery-Reference-Cited by-同舟云学术

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Minimization of the logarithmic function in sparse recovery

Published:2021-02 Issue: Volume:427 Page:141-155
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Changlong,Zhou Feng,Ren Kaiqiang,Ren Shijie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. Iterative null-space projection method with adaptive thresholding in sparse signal recovery and matrix completion;Asadi;IET Signal Processing,2016

2. Sparse subspace clustering for data with missing entries and high-rank matrix completion;Fan;Neural Networks,2017

3. Efficient algorithms on robust low-rank matrix completion against outliers;Zhao;IEEE Transactions on Signal Processing,2016

4. Localization of activation origin on patient-specific endocardial surface by the Equivalent Double Layer (EDL) Source Model With Sparse Bayesian Learning;Zhou;IEEE Transactions on Bio Medical Engineering,2019

5. Computationally efficient algorithms for sparse, dynamic solutions to the EEG source localization problem;Elvira;IEEE Transactions on Biomedical Engineering,2018

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