Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer

2018 ◽  
Vol 35 (11) ◽  
pp. 1549-1566 ◽  
Author(s):  
Zhichao Xue ◽  
Jing Dong ◽  
Yuxin Zhao ◽  
Chang Liu ◽  
Ryad Chellali
Keyword(s):  
Sparse Matrix ◽  
Matrix Decomposition ◽  
Nuclear Norm ◽  
Low Rank ◽  
Truncated Nuclear Norm

Recovering low-rank and sparse matrix based on the truncated nuclear norm

2017 ◽  
Vol 85 ◽  
pp. 10-20 ◽  
Author(s):  
Feilong Cao ◽  
Jiaying Chen ◽  
Hailiang Ye ◽  
Jianwei Zhao ◽  
Zhenghua Zhou
Keyword(s):  
Sparse Matrix ◽  
Nuclear Norm ◽  
Low Rank ◽  
Truncated Nuclear Norm

A blind spectrum sensing based on low-rank and sparse matrix decomposition

2018 ◽  
Vol 15 (8) ◽  
pp. 118-125
Author(s):  
Junsheng Mu ◽  
Xiaojun Jing ◽  
Hai Huang ◽  
Ning Gao
Keyword(s):  
Spectrum Sensing ◽  
Sparse Matrix ◽  
Matrix Decomposition ◽  
Low Rank

scholarly journals Speech Denoising via Low-Rank and Sparse Matrix Decomposition

ETRI Journal ◽  
2014 ◽  
Vol 36 (1) ◽  
pp. 167-170 ◽  
Author(s):  
Jianjun Huang ◽  
Xiongwei Zhang ◽  
Yafei Zhang ◽  
Xia Zou ◽  
Li Zeng
Keyword(s):  
Sparse Matrix ◽  
Matrix Decomposition ◽  
Low Rank ◽  
Speech Denoising

scholarly journals Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

2014 ◽  
Vol 73 (3) ◽  
pp. 1125-1136 ◽  
Author(s):  
Ricardo Otazo ◽  
Emmanuel Candès ◽  
Daniel K. Sodickson
Keyword(s):  
Sparse Matrix ◽  
Matrix Decomposition ◽  
Dynamic Mri ◽  
Low Rank ◽  
Dynamic Components
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