Minh Trinh-Hoang

According to our database, Minh Trinh-Hoang authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective.

Marius Pesavento, Minh Trinh-Hoang, Mats Viberg

IEEE Signal Process. Mag., June, 2023

Decentralized Eigendecomposition for Online Learning Over Graphs With Applications.

Yufan Fan, Minh Trinh-Hoang, Cemil Emre Ardic, Marius Pesavento

IEEE Trans. Signal Inf. Process. over Networks, 2023

A Sequential Partial Relaxation-Based Technique for Automotive MIMO Radar Imaging.

Minh Trinh-Hoang, Dani Karam, Dmytro Rachkov, Marius Pesavento

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Decentralized Online Direction-of-Arrival Estimation and Tracking.

Yufan Fan, Cemil Emre Ardic, Minh Trinh-Hoang, Marius Pesavento

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Partially Relaxed Orthogonal Least Squares Weighted Subspace Fitting Direction-of-Arrival Estimation.

David Schenck, Katja Lübbe, Minh Trinh-Hoang, Marius Pesavento

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Partially-Relaxed Robust DOA Estimator Under Non-Gaussian Low-Rank Interference and Noise.

Minh Trinh-Hoang, Mohammed Nabil El Korso, Marius Pesavento

Proceedings of the IEEE International Conference on Acoustics, 2021

Partially Relaxed Fourier Domain Direction of Arrival Estimation.

David Schenck, Minh Trinh-Hoang, Marius Pesavento

Proceedings of the 29th European Signal Processing Conference, 2021

Decentralized Eigendecomposition for Online Learning over Graphs.

Yufan Fan, Minh Trinh-Hoang, Marius Pesavento

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Cramér-Rao Bound for DOA Estimators Under the Partial Relaxation Framework: Derivation and Comparison.

Minh Trinh-Hoang, Mats Viberg, Marius Pesavento

IEEE Trans. Signal Process., 2020

GPU-accelerated parallel optimization for sparse regularization.

Xingran Wang, Tianyi Liu, Minh Trinh-Hoang, Marius Pesavento

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit.

Minh Trinh-Hoang, Wing-Kin Ma, Marius Pesavento

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

CramÉr-rao Bound for DOA Estimators under the Partial Relaxation Framework.

Minh Trinh-Hoang, Mats Viberg, Marius Pesavento

Proceedings of the IEEE International Conference on Acoustics, 2019

A Parallel optimization Approach on the Infinity Norm Minimization Problem.

Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento

Proceedings of the 27th European Signal Processing Conference, 2019

A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints.

Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework.

Minh Trinh-Hoang, Mats Viberg, Marius Pesavento

IEEE Trans. Signal Process., 2018

An Improved Doa Estimator Based on Partial Relaxation Approach.

Minh Trinh-Hoang, Mats Viberg, Marius Pesavento

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Improved DOA estimators using partial relaxation approach.

Minh Trinh-Hoang, Mats Viberg, Marius Pesavento

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017