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Node-based verification-based recovery algorithms in compressed sensing : asymptotic analysis and design of irregular sensing matrices (graphs)

机译：基于节点的基于验证的压缩感恢复算法：不规则感测矩阵的渐近分析与设计（图）

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Yaser Eftekhari Roozbehani;
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1. Density Evolution Analysis of Node-Based Verification-Based Algorithms in Compressed Sensing [J] . Eftekhari Y., Heidarzadeh A., Banihashemi A. H., Information Theory, IEEE Transactions on . 2012,第10期

机译：压缩感知中基于节点验证的算法密度演化分析
2. An Efficient Algorithm to Improve the Success Threshold of Node-Based Verification-Based Algorithms in Compressed Sensing [J] . Sara Khosravi, Reza Asvadi, Mahmoud Ahmadian-Attari IEEE communications letters . 2016,第8期

机译：一种提高压缩感知中基于节点验证的成功阈值的高效算法
3. Sparse recovery based compressive sensing algorithms for diffuse optical tomography [J] . Optics & Laser Technology . 2020,第期

机译：基于稀疏恢复的弥漫性光学层析造影的压缩传感算法
4. Analysis and design of irregular graphs for node-based verification-based recovery algorithms in compressed sensing [C] . Eftekhari, Yaser, Banihashemi, Amir H., Lambadaris, Ioannis IEEE International Symposium on Information Theory;ISIT 2012 . 2012

机译：压缩感知中基于节点验证的恢复算法不规则图的分析与设计
5. Compressive power systems: Applications of compressive sensing and sparse recovery in the analysis of smart power grids. [D] . Babakmehr, Mohammad. 2017

机译：压缩电源系统：压缩感测和稀疏恢复在智能电网分析中的应用。
6. Deterministic Sensing Matrices in Compressive Sensing: A Survey [O] . Thu L. N. Nguyen, Yoan Shin 2013

机译：压缩传感中的确定性传感矩阵：一项调查
7. Analysis and Design of Irregular Graphs for Node-Based Verification-Based Recovery Algorithms in Compressed Sensing [O] . Yaser Eftekhari, Amir H. Banihashemi, Ioannis Lambadaris 2016

机译：基于节点验证的压缩感知恢复算法的不规则图分析与设计
8. Frames in Compressive Sensing and Approximate Signal Recovery Pertaining to Physical Sensing Matrices. [R] . Casazza, P. G. 2014

机译：与物理传感矩阵有关的压缩感知和近似信号恢复中的帧。

Node-based verification-based recovery algorithms in compressed sensing : asymptotic analysis and design of irregular sensing matrices (graphs)

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