Measurement matrix construction algorithm for sparse signal recovery

Author(s):  
Wenjie Yan ◽  
Qiang Wang ◽  
Yi Shen ◽  
ZhengHua Wu
2011 ◽  
Vol 8 (5) ◽  
pp. 285-290 ◽  
Author(s):  
Guan Gui ◽  
Abolfazl Mehbodniya ◽  
Qun Wan ◽  
Fumiyuki Adachi

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Yao Wang ◽  
Jianjun Wang ◽  
Zongben Xu

This note discusses the recovery of signals from undersampled data in the situation that such signals are nearly block sparse in terms of an overcomplete and coherent tight frameD. By introducing the notion of blockD-restricted isometry property (D-RIP), we establish several sufficient conditions for the proposed mixedl2/l1-analysis method to guarantee stable recovery of nearly block-sparse signals in terms ofD. One of the main results of this note shows that if the measurement matrix satisfies the blockD-RIP with constantsδk<0.307, then the signals which are nearly blockk-sparse in terms ofDcan be stably recovered via mixedl2/l1-analysis in the presence of noise.


AIP Advances ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 065131
Author(s):  
Bingsen Xue ◽  
Xingming Zhang ◽  
Yunzhe Xu ◽  
Yehui Li ◽  
Hongpeng Zhang ◽  
...  

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