Minh Trinh-Hoang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Top Venues

Publications

Marius Pesavento, Minh Trinh-Hoang, Mats Viberg
Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective. IEEE Signal Process. Mag. 40 (4) (2023)
Minh Trinh-Hoang, Dani Karam, Dmytro Rachkov, Marius Pesavento
A Sequential Partial Relaxation-Based Technique for Automotive MIMO Radar Imaging. EUSIPCO (2023)
Yufan Fan, Minh Trinh-Hoang, Cemil Emre Ardic, Marius Pesavento
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Yufan Fan, Cemil Emre Ardic, Minh Trinh-Hoang, Marius Pesavento
Decentralized Online Direction-of-Arrival Estimation and Tracking. SAM (2022)
David Schenck, Katja Lübbe, Minh Trinh-Hoang, Marius Pesavento
Partially Relaxed Orthogonal Least Squares Weighted Subspace Fitting Direction-of-Arrival Estimation. ICASSP (2022)
Yufan Fan, Minh Trinh-Hoang, Marius Pesavento
Decentralized Eigendecomposition for Online Learning over Graphs. EUSIPCO (2021)
David Schenck, Minh Trinh-Hoang, Marius Pesavento
Partially Relaxed Fourier Domain Direction of Arrival Estimation. EUSIPCO (2021)
Minh Trinh-Hoang, Mohammed Nabil El Korso, Marius Pesavento
A Partially-Relaxed Robust DOA Estimator Under Non-Gaussian Low-Rank Interference and Noise. ICASSP (2021)
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
Cramér-Rao Bound for DOA Estimators Under the Partial Relaxation Framework: Derivation and Comparison. IEEE Trans. Signal Process. 68 (2020)
Xingran Wang, Tianyi Liu, Minh Trinh-Hoang, Marius Pesavento
GPU-accelerated parallel optimization for sparse regularization. SAM (2020)
Minh Trinh-Hoang, Wing-Kin Ma, Marius Pesavento
A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit. ICASSP (2020)
Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento
A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints. CAMSAP (2019)
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
CramÉr-rao Bound for DOA Estimators under the Partial Relaxation Framework. ICASSP (2019)
Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento
A Parallel optimization Approach on the Infinity Norm Minimization Problem. EUSIPCO (2019)
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework. IEEE Trans. Signal Process. 66 (23) (2018)
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
An Improved Doa Estimator Based on Partial Relaxation Approach. ICASSP (2018)
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
Improved DOA estimators using partial relaxation approach. CAMSAP (2017)