Minh Trinh-Hoang

Decentralized Eigendecomposition for Online Learning over Graphs with Applications

M. Pesavento, Yu-Hsiao Fan, Minh Trinh-Hoang, 2022, 2209.01257.

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

Marius Pesavento, Yang Yang, Tianyi Liu, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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

Mats Viberg, Minh Trinh-Hoang, Marius Pesavento, 2020, IEEE Transactions on Signal Processing.

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

Mohammed Nabil El Korso, Marius Pesavento, Minh Trinh-Hoang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework

Marius Pesavento, Mats Viberg, Minh Trinh-Hoang, 2017, IEEE Transactions on Signal Processing.

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

M. Viberg, M. Pesavento, Minh Trinh-Hoang, 2022, IEEE Signal Processing Magazine.

Decentralized Online Direction-of-Arrival Estimation and Tracking

M. Pesavento, Yu-Hsiao Fan, Minh Trinh-Hoang, 2022, 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Decentralized Eigendecomposition for Online Learning Over Graphs With Applications

M. Pesavento, Yu-Hsiao Fan, Minh Trinh-Hoang, 2022, IEEE Transactions on Signal and Information Processing over Networks.