Joint optimization methods for Gaussian random measurement matrix based on column coherence in compressed sensing-Reference-Cited by-同舟云学术

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Joint optimization methods for Gaussian random measurement matrix based on column coherence in compressed sensing

Published:2023-06 Issue: Volume:207 Page:108941
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Jin Shengjie,Sun Weize,Huang Lei

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference42 articles.

1. Compressed sensing;Donoho;IEEE Trans. Inf. Theory,2006

2. An introduction to compressive sampling;Candes;IEEE Signal Proc. Mag.,2008

3. Compressed sensing for image reconstruction via back-off and rectification of greedy algorithm;Deng;Signal Process.,2019

4. Image compressed sensing using convolutional neural network;Shi;IEEE Trans. Image Process.,2020

5. Extensions of compressed sensing;Donoho;Signal Process.,2006

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1. An Improved Reweighted Method for Optimizing the Sensing Matrix of Compressed Sensing;IEEE Access;2024

2. Data Compression Model based on Improved Compressive Sensing Algorithm;2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC);2023-11-17

3. Dynamic Compressive Sensing Matrix for Electrocardiogram Signal Projection in Healthcare IoT Environment;2023 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia);2023-10-23

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