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Minh Trinh-Hoang
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2020 – today
- 2023
- [j4]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): 92-106 (2023) - [j3]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: 505-520 (2023) - [c13]Minh Trinh-Hoang, Dani Karam, Dmytro Rachkov, Marius Pesavento:
A Sequential Partial Relaxation-Based Technique for Automotive MIMO Radar Imaging. EUSIPCO 2023: 805-809 - 2022
- [c12]David Schenck, Katja Lübbe, Minh Trinh-Hoang, Marius Pesavento:
Partially Relaxed Orthogonal Least Squares Weighted Subspace Fitting Direction-of-Arrival Estimation. ICASSP 2022: 5028-5032 - [c11]Yufan Fan, Cemil Emre Ardic, Minh Trinh-Hoang, Marius Pesavento:
Decentralized Online Direction-of-Arrival Estimation and Tracking. SAM 2022: 6-10 - 2021
- [c10]Yufan Fan, Minh Trinh-Hoang, Marius Pesavento:
Decentralized Eigendecomposition for Online Learning over Graphs. EUSIPCO 2021: 1825-1829 - [c9]David Schenck, Minh Trinh-Hoang, Marius Pesavento:
Partially Relaxed Fourier Domain Direction of Arrival Estimation. EUSIPCO 2021: 1900-1904 - [c8]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: 4365-4369 - 2020
- [j2]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: 3194-3208 (2020) - [c7]Minh Trinh-Hoang, Wing-Kin Ma, Marius Pesavento:
A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit. ICASSP 2020: 4806-4810 - [c6]Xingran Wang, Tianyi Liu, Minh Trinh-Hoang, Marius Pesavento:
GPU-accelerated parallel optimization for sparse regularization. SAM 2020: 1-5
2010 – 2019
- 2019
- [c5]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: 236-240 - [c4]Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento:
A Parallel optimization Approach on the Infinity Norm Minimization Problem. EUSIPCO 2019: 1-5 - [c3]Minh Trinh-Hoang, Mats Viberg, Marius Pesavento:
CramÉr-rao Bound for DOA Estimators under the Partial Relaxation Framework. ICASSP 2019: 4469-4473 - 2018
- [j1]Minh Trinh-Hoang, Mats Viberg, Marius Pesavento:
Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework. IEEE Trans. Signal Process. 66(23): 6190-6203 (2018) - [c2]Minh Trinh-Hoang, Mats Viberg, Marius Pesavento:
An Improved Doa Estimator Based on Partial Relaxation Approach. ICASSP 2018: 3246-3250 - 2017
- [c1]Minh Trinh-Hoang, Mats Viberg, Marius Pesavento:
Improved DOA estimators using partial relaxation approach. CAMSAP 2017: 1-5
Coauthor Index
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