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

Applicable Analysis ◽

10.1080/00036811.2017.1359556 ◽

2017 ◽

Vol 97 (12) ◽

pp. 2122-2131 ◽

Author(s):

J. K. Liu ◽

X. L. Du

Keyword(s):

Compressive Sensing ◽

Projection Method ◽

Signal Reconstruction ◽

Gradient Projection ◽

Gradient Projection Method ◽

Sparse Signal ◽

Sparse Signal Reconstruction

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An Improved Gradient Projection Method for Sparse Signal Reconstruction

Computer Science and Application ◽

10.12677/csa.2017.79095 ◽

2017 ◽

Vol 07 (09) ◽

pp. 828-833

Author(s):

剑峰胡

Keyword(s):

Projection Method ◽

Signal Reconstruction ◽

Gradient Projection ◽

Gradient Projection Method ◽

Sparse Signal ◽

Sparse Signal Reconstruction

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Gradient Immune-based Sparse Signal Reconstruction Algorithm for Compressive Sensing

Applied Soft Computing ◽

10.1016/j.asoc.2019.106032 ◽

2020 ◽

Vol 88 ◽

pp. 106032

Author(s):

Nabil Sabor

Keyword(s):

Compressive Sensing ◽

Signal Reconstruction ◽

Reconstruction Algorithm ◽

Sparse Signal ◽

Sparse Signal Reconstruction

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Local Optimization Orthogonal Matching Pursuit for Sparse Signal Reconstruction in Compressive Sensing

International Conference on Radar Systems (Radar 2017) ◽

10.1049/cp.2017.0538 ◽

2017 ◽

Author(s):

Gao Liang ◽

Liu Junhao ◽

Chen Qian

Keyword(s):

Compressive Sensing ◽

Matching Pursuit ◽

Signal Reconstruction ◽

Local Optimization ◽

Orthogonal Matching Pursuit ◽

Sparse Signal ◽

Sparse Signal Reconstruction

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An iteratively approximated gradient projection algorithm for sparse signal reconstruction

Applied Mathematics and Computation ◽

10.1016/j.amc.2013.10.063 ◽

2014 ◽

Vol 228 ◽

pp. 454-462 ◽

Author(s):

Zhongyi Liu ◽

Zhihui Wei ◽

Wenyu Sun

Keyword(s):

Signal Reconstruction ◽

Gradient Projection ◽

Projection Algorithm ◽

Sparse Signal ◽

Sparse Signal Reconstruction ◽

Gradient Projection Algorithm

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Sparse signal reconstruction in compressive sensing via derivative-free iterative method

Journal of Mathematical and Computational Science ◽

10.28919/jmcs/6157 ◽

2021 ◽

Keyword(s):

Iterative Method ◽

Compressive Sensing ◽

Signal Reconstruction ◽

Sparse Signal ◽

Sparse Signal Reconstruction ◽

Derivative Free

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SPARSE SIGNAL RECONSTRUCTION FROM LIMITED DATA USING BAYESIAN COMPRESSIVE SENSING VIA BELIEF PROPAGATION

International Journal of Electronics Engineering and Applications ◽

10.30696/ijeea.vii.ii.2019.24-36 ◽

2019 ◽

Vol VII (II) ◽

pp. 24

Author(s):

Prateek Paliwal ◽

Manish Sharma

Keyword(s):

Compressive Sensing ◽

Belief Propagation ◽

Signal Reconstruction ◽

Sparse Signal ◽

Limited Data ◽

Sparse Signal Reconstruction

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Compressive Sensing Using Symmetric Alpha-Stable Distributions for Robust Sparse Signal Reconstruction

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2018.2887400 ◽

2019 ◽

Vol 67 (3) ◽

pp. 808-820 ◽

Author(s):

George Tzagkarakis ◽

John P. Nolan ◽

Panagiotis Tsakalides

Keyword(s):

Compressive Sensing ◽

Signal Reconstruction ◽

Stable Distributions ◽

Sparse Signal ◽

Sparse Signal Reconstruction

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A Barzilai-Borwein gradient projection method for sparse signal and blurred image restoration

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.04.022 ◽

2020 ◽

Vol 357 (11) ◽

pp. 7266-7285

Author(s):

Auwal Bala Abubakar ◽

Poom Kumam ◽

Hassan Mohammad ◽

Aliyu Muhammed Awwal

Keyword(s):

Image Restoration ◽

Projection Method ◽

Gradient Projection ◽

Gradient Projection Method ◽

Sparse Signal ◽

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A derivative-free RMIL conjugate gradient projection method for convex constrained nonlinear monotone equations with applications in compressive sensing

Applied Numerical Mathematics ◽

10.1016/j.apnum.2021.03.005 ◽

2021 ◽

Vol 165 ◽

pp. 431-441

Author(s):

M. Koorapetse ◽

P. Kaelo ◽

S. Lekoko ◽

T. Diphofu

Keyword(s):

Compressive Sensing ◽

Projection Method ◽

Conjugate Gradient ◽

Gradient Projection ◽

Gradient Projection Method ◽

Monotone Equations ◽

Derivative Free ◽

Nonlinear Monotone Equations

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Chaotic Analog-to-information Conversion: Sparse Signal Reconstruction with Multiple Shooting Method

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2012.00905 ◽

2014 ◽

Vol 35 (3) ◽

pp. 608-613

Author(s):

Feng Xi ◽

Sheng-yao Chen ◽

Zhong Liu

Keyword(s):

Shooting Method ◽

Signal Reconstruction ◽

Sparse Signal ◽

Multiple Shooting ◽

Sparse Signal Reconstruction ◽

Multiple Shooting Method

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