Compressive sensing measurement matrix construction based on improved size compatible array LDPC code

doi:10.1049/iet-ipr.2015.0117

Compressive sensing measurement matrix construction based on improved size compatible array LDPC code

2015-11-01

0

OA

AI

DOI：10.1049/iet-ipr.2015.0117

原文链接

查看原文

摘要

En 中文

ISC‐array LDPC code matrix is evolved from SC‐array LDPC code matrix to improve compressive sensing performance for large‐size sparse signal. When q is a prime number, no repetitive row occurs in the shift index of SC‐array LDPC code matrix, ISC‐array LDPC code matrix performs comparably with SC‐array LDPC code matrix. When q is a non‐prime number, some repetitive rows will appear in the shift index of SC‐array LDPC code matrix, which results in more 4‐cycles and decreases the compressive sensing performance. ISC‐array LDPC code matrix outperforms SC‐array LDPC code matrix by effectively reducing or even eliminating the repetitive rows according to their distribution rule, 4‐cycles are removed to the maximum extent. ISC‐array LDPC code matrix qualifies for compressive sensing because of satisfying RIP well. It also has good quasi‐cyclic structure and supports arbitrary code lengths. The simulations verify that the optimised ISC‐array LDPC code matrix is advantageous in the image reconstruction quality, the robustness to noise performance and the algorithm complexity.

Compressive sensing measurement matrix construction based on improved size compatible array LDPC code

摘要

AI总结

期刊

机构

引用论文