Huanmin Ge

Orcid: 0000-0003-1132-373X

According to our database1, Huanmin Ge authored at least 21 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery.
SIAM J. Imaging Sci., December, 2023

Low-Rank tensor completion based on nonconvex regularization.
Signal Process., November, 2023

RIP Analysis for $\ell _{1}/\ell _{p}$ ($p> 1$) Minimization Method.
IEEE Signal Process. Lett., 2023

Signal and Image Reconstruction with Tight Frames via Unconstrained ℓ1-αℓ2-Analysis Minimizations.
Signal Process., 2023

2022
Stable Image Reconstruction Using Transformed Total Variation Minimization.
SIAM J. Imaging Sci., 2022

A general theory for subspace-sparse recovery.
Int. J. Wavelets Multiresolution Inf. Process., 2022

2021
Orthogonal Least Squares Detector for Generalized Spatial Modulation.
IEEE Trans. Wirel. Commun., 2021

On Recovery of Sparse Signals With Prior Support Information via Weighted ℓₚ-Minimization.
IEEE Trans. Inf. Theory, 2021

New Restricted Isometry Property Analysis for ℓ<sub>1-ℓ<sub>2</sub></sub> Minimization Methods.
SIAM J. Imaging Sci., 2021

Signal and Image Reconstruction with Tight Frames via Unconstrained 𝓁<sub>1</sub>-α𝓁<sub>2</sub>-Analysis Minimizations.
CoRR, 2021

The Dantzig selector: Recovery of Signal via 𝓁<sub>1</sub>-α𝓁<sub>2</sub> Minimization.
CoRR, 2021

2020
New RIP Bounds for Recovery of Sparse Signals With Partial Support Information via Weighted ${\ell_{p}}$ -Minimization.
IEEE Trans. Inf. Theory, 2020

2019
An RIP Condition for Exact Support Recovery With Covariance-Assisted Matching Pursuit.
IEEE Signal Process. Lett., 2019

An Optimal Recovery Condition for Sparse Signals with Partial Support Information via OMP.
Circuits Syst. Signal Process., 2019

New Bounds Based on RIP for the Sparse Matrix Recovery via the Weighted ℓ<sub>2, 1</sub> Minimization.
IEEE Access, 2019

2018
The Null Space Property of the Truncated ℓ<sub>1-2</sub>-Minimization.
IEEE Signal Process. Lett., 2018

Recovery of signals by a weighted ℓ<sub>2</sub>/ℓ<sub>1</sub> minimization under arbitrary prior support information.
Signal Process., 2018

2017
A sharp recovery condition for sparse signals with partial support information via orthogonal matching pursuit.
CoRR, 2017

Recovery of signals by a weighted $\ell_2/\ell_1$ minimization under arbitrary prior support information.
CoRR, 2017

2016
A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit.
CoRR, 2016

A sharp bound on RIC in generalized orthogonal matching pursuit.
CoRR, 2016


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