计算机应用与软件2024，Vol.41Issue(5)：183-188,263,7.DOI:10.3969/j.issn.1000-386x.2024.05.029
基于均值阈值和回溯策略的SWOMP重构算法
SWOMP RECONSTRUCTION ALGORITHM BASED ON MEAN THRESHOLD AND BACKTRACKING STRATEGY
摘要
Abstract
In order to improve the reconstruction accuracy and running speed of the staged weak selection orthogonal matching pursuit(SWOMP)algorithm in the compressed sensing reconstruction algorithm,a SWOMP algorithm based on the mean threshold and backtracking strategy is proposed.The algorithm used the mean strategy to adaptively select atoms,which improved the accuracy of atomic screening.We used the backtracking strategy to perform secondary screening on the selected atoms,and optimized the support set to improve the reconstruction accuracy of the algorithm.The matrix design was simplified to reduce the iteration times of the algorithm,which increased the running speed of the algorithm.Simulation experiments show that the reconstruction performance of this algorithm for one-dimensional random signals and two-dimensional image signals is significantly better than other similar algorithms,and it has the characteristics of high reconstruction accuracy and less time consumption.关键词
压缩感知/阶段性弱选择正交匹配追踪/稀疏重建/贪婪算法/回溯/均值策略Key words
Compressed sensing/Staged weak selection orthogonal matching tracking/Sparse reconstruction/Greedy algorithm/Backtracking/Mean strategy分类
信息技术与安全科学引用本文复制引用
李忠兵,赵茂君,谌贵辉,庞微..基于均值阈值和回溯策略的SWOMP重构算法[J].计算机应用与软件,2024,41(5):183-188,263,7.基金项目
西南石油大学启航计划项目(2015QH027). （2015QH027）
