Minh Trinh-Hoang

18 papers Misc 5Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
A Sequential Partial Relaxation-Based Technique for Automotive MIMO Radar Imaging.
EUSIPCO
Minh Trinh-Hoang, Dani Karam, Dmytro Rachkov, Marius Pesavento
2023 J jnl
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications.
IEEE Trans. Signal Inf. Process. over Networks
Yufan Fan, Minh Trinh-Hoang, Cemil Emre Ardic, Marius Pesavento
2023 J jnl
Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective.
IEEE Signal Process. Mag.
Marius Pesavento, Minh Trinh-Hoang, Mats Viberg
2022 — conf
Decentralized Online Direction-of-Arrival Estimation and Tracking.
SAM
Yufan Fan, Cemil Emre Ardic, Minh Trinh-Hoang, Marius Pesavento
2022 Misc conf
Partially Relaxed Orthogonal Least Squares Weighted Subspace Fitting Direction-of-Arrival Estimation.
ICASSP
David Schenck, Katja Lübbe, Minh Trinh-Hoang, Marius Pesavento
2021 Misc conf
A Partially-Relaxed Robust DOA Estimator Under Non-Gaussian Low-Rank Interference and Noise.
ICASSP
Minh Trinh-Hoang, Mohammed Nabil El Korso, Marius Pesavento
2021 — conf
Decentralized Eigendecomposition for Online Learning over Graphs.
EUSIPCO
Yufan Fan, Minh Trinh-Hoang, Marius Pesavento
2021 — conf
Partially Relaxed Fourier Domain Direction of Arrival Estimation.
EUSIPCO
David Schenck, Minh Trinh-Hoang, Marius Pesavento
2020 Misc conf
A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit.
ICASSP
Minh Trinh-Hoang, Wing-Kin Ma, Marius Pesavento
2020 J jnl
Cramér-Rao Bound for DOA Estimators Under the Partial Relaxation Framework: Derivation and Comparison.
IEEE Trans. Signal Process.
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
2020 — conf
GPU-accelerated parallel optimization for sparse regularization.
SAM
Xingran Wang, Tianyi Liu, Minh Trinh-Hoang, Marius Pesavento
2019 — conf
A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints.
CAMSAP
Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento
2019 — conf
A Parallel optimization Approach on the Infinity Norm Minimization Problem.
EUSIPCO
Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento
2019 Misc conf
CramÉr-rao Bound for DOA Estimators under the Partial Relaxation Framework.
ICASSP
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
2019 — conf
Full Covariance Fitting DoA Estimation Using Partial Relaxation Framework.
EUSIPCO
David Schenck, Minh Trinh-Hoang, Xavier Mestre, Mats Viberg, Marius Pesavento
2018 Misc conf
An Improved Doa Estimator Based on Partial Relaxation Approach.
ICASSP
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
2018 J jnl
Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework.
IEEE Trans. Signal Process.
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento
2017 — conf
Improved DOA estimators using partial relaxation approach.
CAMSAP
Minh Trinh-Hoang, Mats Viberg, Marius Pesavento