Improved DOA estimators using partial relaxation approach. - Minh Trinh-Hoang; Mats Viberg; Marius Pesavento (CAMSAP, 2017)

An Improved Doa Estimator Based on Partial Relaxation Approach. - Minh Trinh-Hoang; Mats Viberg; Marius Pesavento (ICASSP, 2018)

Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework. - Minh Trinh-Hoang; Mats Viberg; Marius Pesavento (IEEE Trans. Signal Process., 2018)

A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints. - Tianyi Liu; Minh Trinh-Hoang; Yang Yang 033; Marius Pesavento (CAMSAP, 2019)

A Parallel optimization Approach on the Infinity Norm Minimization Problem. - Tianyi Liu; Minh Trinh-Hoang; Yang Yang 033; Marius Pesavento (EUSIPCO, 2019)

CramÉr-rao Bound for DOA Estimators under the Partial Relaxation Framework. - Minh Trinh-Hoang; Mats Viberg; Marius Pesavento (ICASSP, 2019)

A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit. - Minh Trinh-Hoang; Wing-Kin Ma; Marius Pesavento (ICASSP, 2020)

GPU-accelerated parallel optimization for sparse regularization. - Xingran Wang; Tianyi Liu; Minh Trinh-Hoang; Marius Pesavento (SAM, 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)

Decentralized Eigendecomposition for Online Learning over Graphs. - Yufan Fan; Minh Trinh-Hoang; Marius Pesavento (EUSIPCO, 2021)

Partially Relaxed Fourier Domain Direction of Arrival Estimation. - David Schenck; Minh Trinh-Hoang; Marius Pesavento (EUSIPCO, 2021)

A Partially-Relaxed Robust DOA Estimator Under Non-Gaussian Low-Rank Interference and Noise. - Minh Trinh-Hoang; Mohammed Nabil El Korso; Marius Pesavento (ICASSP, 2021)

Partially Relaxed Orthogonal Least Squares Weighted Subspace Fitting Direction-of-Arrival Estimation. - David Schenck; Katja Lübbe; Minh Trinh-Hoang; Marius Pesavento (ICASSP, 2022)

Decentralized Online Direction-of-Arrival Estimation and Tracking. - Yufan Fan; Cemil Emre Ardic; Minh Trinh-Hoang; Marius Pesavento (SAM, 2022)

A Sequential Partial Relaxation-Based Technique for Automotive MIMO Radar Imaging. - Minh Trinh-Hoang; Dani Karam; Dmytro Rachkov; Marius Pesavento (EUSIPCO, 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)

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., 2023)