Myung Cho
Orcid: 0000-0002-2383-3481
According to our database1,
Myung Cho
authored at least 34 papers
between 2009 and 2023.
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Bibliography
2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the European Control Conference, 2023
Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond.
PLoS Comput. Biol., October, 2022
Deep Neural Networks Based on Iterative Thresholding and Projection Algorithms for Sparse LQR Control Design.
CoRR, 2022
Iterative Shrinkage-Thresholding Algorithm and Model-Based Neural Network for Sparse LQR Control Design.
Proceedings of the European Control Conference, 2022
2021
Distributed Dual Coordinate Ascent in General Tree Networks and Communication Network Effect on Synchronous Machine Learning.
IEEE J. Sel. Areas Commun., 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints.
CoRR, 2020
Communication-Efficient Optimal Control Design For Distributed Control Systems In Cooperative Vehicular Networks.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
2019
Generalized Distributed Dual Coordinate Ascent in a Tree Network for Machine Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
EURASIP J. Adv. Signal Process., 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
2017
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
CoRR, 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
CoRR, 2016
Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals.
IEEE Signal Process. Lett., 2015
2014
System identification in the presence of outliers and random noises: A compressed sensing approach.
Autom., 2014
Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d\geq 2$) Off-the-Grid Frequencies.
CoRR, 2013
Universally Elevating the Phase Transition Performance of Compressed Sensing: Non-Isometric Matrices are Not Necessarily Bad Matrices.
CoRR, 2013
Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm.
CoRR, 2013
Toeplitz matrix based sparse error correction in system identification: Outliers and random noises.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2009
Proceedings of the IEEE International Solid-State Circuits Conference, 2009