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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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 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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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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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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Matrix-Form Neural Networks for Complex-Variable Basis Pursuit Problem With Application to Sparse Signal Reconstruction

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3042519 ◽

2021 ◽

pp. 1-11

Author(s):

Songchuan Zhang ◽

Yonghui Xia ◽

Youshen Xia ◽

Jun Wang

Keyword(s):

Neural Networks ◽

Complex Variable ◽

Signal Reconstruction ◽

Matrix Form ◽

Sparse Signal ◽

Basis Pursuit ◽

Pursuit Problem ◽

Sparse Signal Reconstruction

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Smoothing inertial neurodynamic approach for sparse signal reconstruction via Lp-norm minimization

Neural Networks ◽

10.1016/j.neunet.2021.02.006 ◽

2021 ◽

Vol 140 ◽

pp. 100-112

Author(s):

You Zhao ◽

Xiaofeng Liao ◽

Xing He ◽

Rongqiang Tang ◽

Weiwei Deng

Keyword(s):

Signal Reconstruction ◽

Sparse Signal ◽

Sparse Signal Reconstruction ◽

Lp Norm ◽

Norm Minimization

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Convergence of the gradient projection method and Newton’s method as applied to optimization problems constrained by intersection of a spherical surface and a convex closed set

Computational Mathematics and Mathematical Physics ◽

10.1134/s0965542516100055 ◽

2016 ◽

Vol 56 (10) ◽

pp. 1716-1731 ◽

Author(s):

Yu. A. Chernyaev

Keyword(s):

Projection Method ◽

Newton’S Method ◽

Newton's Method ◽

Optimization Problems ◽

Spherical Surface ◽

Gradient Projection ◽

Gradient Projection Method ◽

Convex Closed Set

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An extension of the gradient projection method and Newton’s method to extremum problems constrained by a smooth surface

Computational Mathematics and Mathematical Physics ◽

10.1134/s0965542515090079 ◽

2015 ◽

Vol 55 (9) ◽

pp. 1451-1460 ◽

Author(s):

Yu. A. Chernyaev

Keyword(s):

Projection Method ◽

Newton’S Method ◽

Newton's Method ◽

Smooth Surface ◽

Gradient Projection ◽

Gradient Projection Method ◽

Extremum Problems

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Parametric Optimization of Metal Rod Structures Using the Modified Gradient Projection Method

International Applied Mechanics ◽

10.1007/s10778-021-01096-0 ◽

2021 ◽

Author(s):

I. D. Peleshko ◽

V. V. Yurchenko

Keyword(s):

Projection Method ◽

Parametric Optimization ◽

Gradient Projection ◽

Gradient Projection Method ◽

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Block Sparse Signal Reconstruction Based on Fractional Penalty Function

Journal of Image and Signal Processing ◽

10.12677/jisp.2021.101005 ◽

2021 ◽

Vol 10 (01) ◽

pp. 36-47

Author(s):

鸽陈

Keyword(s):

Penalty Function ◽

Signal Reconstruction ◽

Sparse Signal ◽

Sparse Signal Reconstruction

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