An Orthogonal Matching Pursuit Algorithm Based on Singular Value Decomposition

被引：7
|
作者：
Zhang, Cui-juan [1 ]
机构：
[1] Anqing Normal Univ, Univ Key Lab Intelligent Percept & Comp Anhui Pro, Sch Comp & Informat, Anqing 246011, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2020年 / 39卷 / 01期
关键词：
Compressive sensing; Sparse prior; Singular value decomposition; Orthogonal matching pursuit algorithm; SIGNAL RECOVERY;
D O I：
10.1007/s00034-019-01182-2
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A recovery algorithm is one of the most important components in compressive sensing. It is responsible for the recovery of sparse coefficients in some bases of the original signal from a set of non-adaptive and underdetermined linear measurements, and it is a key link between the front-end signal sensing system and back-end processing. In this study, an improved orthogonal matching pursuit algorithm based on singular value decomposition is proposed to overcome the limitations of existing algorithms, which effectively eliminates the correlation between the measured values. The results of simulation experiments show that the proposed algorithm significantly improves the average signal-to-noise ratio, and it performs more robustly than the classical orthogonal matching pursuit algorithm.
引用
收藏
页码：492 / 501
页数：10
相关论文
共 50 条
  • [31] QUANTUM SINGULAR VALUE DECOMPOSITION BASED APPROXIMATION ALGORITHM
    Gyongyosi, Laszlo
    Imre, Sandor
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2010, 19 (06) : 1141 - 1162
  • [32] Weighted Singular Value Decomposition of Matrices with Singular Weights Based on Weighted Orthogonal Transformations
    Sergienko I.V.
    Galba E.F.
    [J]. Cybernetics and Systems Analysis, 2015, 51 (4) : 514 - 528
  • [33] Analysis of the Orthogonal Matching Pursuit Algorithm with Prior Information
    Zhilin Li
    Wenbo Xu
    Yupeng Cui
    Jiaru Lin
    [J]. Wireless Personal Communications, 2017, 96 : 1495 - 1506
  • [34] Analysis of the Orthogonal Matching Pursuit Algorithm with Prior Information
    Li, Zhilin
    Xu, Wenbo
    Cui, Yupeng
    Lin, Jiaru
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2017, 96 (01) : 1495 - 1506
  • [35] SPARSE APPROXIMATION WITH AN ORTHOGONAL COMPLEMENTARY MATCHING PURSUIT ALGORITHM
    Rath, Gagan
    Guillemont, Christine
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 3325 - 3328
  • [36] Sparse Reconstruction with Bat Algorithm and Orthogonal Matching Pursuit
    Zhang, Chunmei
    Cai, Xingjuan
    Shi, Zhentao
    [J]. INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT I, 2017, 10361 : 48 - 56
  • [37] An Optimal Condition for the Block Orthogonal Matching Pursuit Algorithm
    Wen, Jinming
    Chen, Huangke
    Zhou, Zhengchun
    [J]. IEEE ACCESS, 2018, 6 : 38179 - 38185
  • [38] Face detection based on empirical mode decomposition and matching pursuit algorithm
    Nie, Xiangfei
    Guo, Jun
    Yang, Zhen
    Lei, Jianjun
    Wang, Jian
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 2702 - 2705
  • [39] Peak Colocalized Orthogonal Matching Pursuit for Seismic Trace Decomposition
    Li, Yongqing
    Wang, Jun
    Li, Hui
    Ren, Peng
    [J]. IEEE ACCESS, 2020, 8 : 8620 - 8626
  • [40] Quantitative Analysis of Near Infrared Spectroscopy Based on Orthogonal Matching Pursuit Algorithm
    Li Si-hai
    Liu Dong-ling
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41 (04) : 1097 - 1101
12345