Publication Cover
Applicable Analysis
An International Journal
Volume 97, 2018 - Issue 12
229
Views
13
CrossRef citations to date
0
Altmetric
Articles

A gradient projection method for the sparse signal reconstruction in compressive sensing

&
Pages 2122-2131 | Received 07 Aug 2016, Accepted 07 Jul 2017, Published online: 02 Aug 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

P. Kaelo & M. Koorapetse. (2021) A globally convergent projection method for a system of nonlinear monotone equations. International Journal of Computer Mathematics 98:4, pages 719-737.
Read now

Articles from other publishers (12)

Liqiao Zhang, Jiang Xiong, Jinkui Liu & Yuming Feng. (2023) Sparse signal reconstruction by a three-term derivative-free projection method. Sparse signal reconstruction by a three-term derivative-free projection method.
Najib Ullah, Abdullah Shah, Jamilu Sabi’u, Xiangmin Jiao, Aliyu Muhammed Awwal, Nuttapol Pakkaranang , Said Karim Shah & Bancha Panyanak. (2023) A One-Parameter Memoryless DFP Algorithm for Solving System of Monotone Nonlinear Equations with Application in Image Processing. Mathematics 11:5, pages 1221.
Crossref
Xian-Zhen Jiang, Yi-Han Zhu & Jin-Bao Jian. (2022) Two efficient nonlinear conjugate gradient methods with restart procedures and their applications in image restoration. Nonlinear Dynamics 111:6, pages 5469-5498.
Crossref
Zhifeng Wang, Zhenghui Wang, Chunyan Zeng, Yan Yu & Xiangkui Wan. (2022) High-Quality Image Compressed Sensing and Reconstruction with Multi-scale Dilated Convolutional Neural Network. Circuits, Systems, and Signal Processing 42:3, pages 1593-1616.
Crossref
Predrag S. Stanimirović, Bilall I. Shaini, Jamilu Sabi’u, Abdullah Shah, Milena J. Petrović, Branislav Ivanov, Xinwei Cao, Alena Stupina & Shuai Li. (2023) Improved Gradient Descent Iterations for Solving Systems of Nonlinear Equations. Algorithms 16:2, pages 64.
Crossref
Xianzhen Jiang, Wei Liao, Jianghua Yin & Jinbao Jian. (2022) A new family of hybrid three-term conjugate gradient methods with applications in image restoration. Numerical Algorithms 91:1, pages 161-191.
Crossref
J.K. Liu, Z.L. Lu, J.L. Xu, S. Wu & Z.W. Tu. (2022) An efficient projection-based algorithm without Lipschitz continuity for large-scale nonlinear pseudo-monotone equations. Journal of Computational and Applied Mathematics 403, pages 113822.
Crossref
Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao & Minghu Wu. (2021) Cascade neural network-based joint sampling and reconstruction for image compressed sensing. Signal, Image and Video Processing 16:1, pages 47-54.
Crossref
M. Koorapetse, P. Kaelo, S. Lekoko & T. Diphofu. (2021) A derivative-free RMIL conjugate gradient projection method for convex constrained nonlinear monotone equations with applications in compressive sensing. Applied Numerical Mathematics 165, pages 431-441.
Crossref
Mengna Shi, Shiyu Guo, Chao Li, Yanqi Zhou & Erfu Wang. 2021. Artificial Intelligence for Communications and Networks. Artificial Intelligence for Communications and Networks 63 69 .
Auwal Bala Abubakar, Poom Kumam, Hassan Mohammad & Aliyu Muhammed Awwal. (2020) A Barzilai-Borwein gradient projection method for sparse signal and blurred image restoration. Journal of the Franklin Institute 357:11, pages 7266-7285.
Crossref
Liquan Zhao, Yunfeng Hu & Yulong Liu. (2019) Stochastic Gradient Matching Pursuit Algorithm Based on Sparse Estimation. Electronics 8:2, pages 165.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.