A Fast Algorithm for Joint Sparse Signal Recovery in 1-Bit Compressed Sensing

2021 ◽  
pp. 153856
Author(s):  
Hwajin Yang ◽  
Nam Yul Yu
Keyword(s):  
Compressed Sensing ◽  
Fast Algorithm ◽  
Sparse Signal ◽  
Sparse Signal Recovery ◽  
Signal Recovery

scholarly journals Sparse Recovery Algorithm for Compressed Sensing Using Smoothed l0 Norm and Randomized Coordinate Descent

Mathematics ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 834
Author(s):  
Jin ◽  
Yang ◽  
Li ◽  
Liu
Keyword(s):  
Compressed Sensing ◽  
Image Denoising ◽  
Signal To Noise Ratio ◽  
Sparse Recovery ◽  
Coordinate Descent ◽  
Sparse Signal ◽  
Sparse Signal Recovery ◽  
Signal Recovery ◽  
Recovery Algorithm ◽  
Core Concepts

Compressed sensing theory is widely used in the field of fault signal diagnosis and image processing. Sparse recovery is one of the core concepts of this theory. In this paper, we proposed a sparse recovery algorithm using a smoothed l0 norm and a randomized coordinate descent (RCD), then applied it to sparse signal recovery and image denoising. We adopted a new strategy to express the (P0) problem approximately and put forward a sparse recovery algorithm using RCD. In the computer simulation experiments, we compared the performance of this algorithm to other typical methods. The results show that our algorithm possesses higher precision in sparse signal recovery. Moreover, it achieves higher signal to noise ratio (SNR) and faster convergence speed in image denoising.

RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction

2015 ◽  
Vol 63 ◽  
pp. 66-78 ◽  
Author(s):  
Vidya L. ◽  
Vivekanand V. ◽  
Shyamkumar U. ◽  
Deepak Mishra
Keyword(s):  
Compressed Sensing ◽  
Sparse Signal ◽  
Sparse Signal Recovery ◽  
Signal Recovery ◽  
Rbf Network ◽  
Recovery Algorithm

scholarly journals Sparse Signal Recovery by Stepwise Subspace Pursuit in Compressed Sensing

2013 ◽  
Vol 9 (8) ◽  
pp. 798537 ◽  
Author(s):  
ZheTao Li ◽  
JingXiong Xie ◽  
DengBiao Tu ◽  
Young-June Choi
Keyword(s):  
Compressed Sensing ◽  
Sparse Signal ◽  
Sparse Signal Recovery ◽  
Signal Recovery

Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation

2017 ◽  
Vol 37 (4) ◽  
pp. 1649-1668 ◽  
Author(s):  
Mahdi Shamsi ◽  
Tohid Yousefi Rezaii ◽  
Mohammad Ali Tinati ◽  
Amir Rastegarnia ◽  
Azam Khalili
Keyword(s):  
Compressed Sensing ◽  
Sparse Signal ◽  
Sparse Signal Recovery ◽  
Signal Recovery ◽  
Order Estimation ◽  
Block Sparsity ◽  
Active Block
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