Ming-Jiu Lv

Orcid: 0000-0003-0515-6007

According to our database1, Ming-Jiu Lv authored at least 14 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
A method for extracting micro-motion features of rotor targets based on GS-IRadon algorithm.
Digit. Signal Process., January, 2024

2023
Spectral De-Aliasing Method of Micro-Motion Signals Based on a Complex-Valued U-Net Network.
Remote. Sens., September, 2023

An improved fast adaptive complex approximation message passing algorithm.
Digit. Signal Process., 2023

2022
Joint random stepped frequency ISAR imaging and autofocusing based on 2D alternating direction method of multipliers.
Signal Process., 2022

Gridless Sparse ISAR Imaging via 2-D Fast Reweighted Atomic Norm Minimization.
IEEE Geosci. Remote. Sens. Lett., 2022

Fast, super-resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing.
IET Signal Process., 2022

Translational Motion Compensation for ISAR Imaging Based on Range Joint Fast Orthogonal Matching Pursuit Algorithm.
IEEE Access, 2022

A Rotor Target Recognition Method Based on Transfer Learning.
Proceedings of the IEEE International Conference on Signal Processing, 2022

2021
Enhanced sparse ISAR imaging by jointly using sparsity and low-rank properties.
Digit. Signal Process., 2021

ISAR High-Resolution Imaging Method With Joint FISTA and VGGNet.
IEEE Access, 2021

Two-Dimensional ISAR Imaging with Pattern-Coupled Sparse Structure Based on 2D-RFISTA.
Proceedings of the 2021 International Conference on Control, 2021

2017
A new distributed subspace pursuit algorithm and its performance analysis.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

Non-linear stepped frequency waveform design method based on range ambiguity function.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

Iteratively reweighted complex approximate message passing for ISAR imaging with cluster sparse structure.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017


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