Measurement matrix construction algorithm for compressed sensing based on QC-LDPC matrix

被引：0
|
作者：
Nie Y. [1 ,2 ]
Jing L.-L. [1 ]
机构：
[1] Department of Physics, Jining Normal University, Inner Mongolia
[2] Digital Engineering Center, Communication University of China, Beijing
来源：
| 1600年 / Science and Engineering Research Support Society卷 / 09期
关键词：
Compressed sensing; Image compression; Measurement matrix; QC-LDPC;
D O I：
10.14257/ijgdc.2016.9.2.11
中图分类号：
学科分类号：
摘要：
The measurement matrix of compressed sensing has a significant impact for sampling and reconstruction algorithm of the original signal. At present, the majority of the measurement matrix is randomly constructed, and it is difficulty for hardware implementation in the practical applications. In this paper, we use the sparse characteristic of parity- check matrix of LDPC codes, construct measurement matrix based on QC-LDPC (Quasi-cyclic low-density parity-check) matrix, which is a structural and sparse deterministic measurement matrix. The simulation results show that, the measurement matrix is proposed in this paper not only can obtain a better reconstructed image quality, but also it can reduce the complexity of hardware implementation for quasi-cyclic. © 2016 SERSC.
引用
收藏
页码：121 / 130
页数：9
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