Fei Hua

According to our database, Fei Hua authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Target Tracking Agorithm Based on EM Method with Inaccurate Based Stations.

Chun Zhang, Jingjie Gao, Fei Hua, Yuhai Gao, Kunkun Tian, Xingchen Jiang

Proceedings of the IEEE International Conference on Signal Processing, 2023

A Sensor Deployment Algorithm for Localization in Obstacle Environment.

Kunkun Tian, Jingjie Gao, Fei Hua, Chun Zhang, Xingchen Jiang, Yuhai Gao

Proceedings of the IEEE International Conference on Signal Processing, 2023

2022

Distributed Correlation Detection in Streaming Graph Signal.

Xuandi Sun, Haiyan Wang, Xiaohong Shen, Fei Hua

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

An Optimized DV-Hop Localization Algorithm Based on Hop Count Optimization and Ranging Correction.

Huachao Sun, Jingjie Gao, Fei Hua, Qian Zhang, Chun Zhang, Kunkun Tian

Proceedings of the IEEE International Conference on Signal Processing, 2022

2021

On Low-Complexity MMSE Channel Estimation for OCDM Systems.

Xin Wang, Xiaohong Shen, Fei Hua, Zhe Jiang

IEEE Wirel. Commun. Lett., 2021

2020

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

IEEE Trans. Signal Inf. Process. over Networks, 2020

Diffusion LMS With Communication Delays: Stability and Performance Analysis.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

IEEE Signal Process. Lett., 2020

2019

Learning Combination of Graph Filters for Graph Signal Modeling.

Fei Hua, Cédric Richard, Jie Chen, Haiyan Wang, Pierre Borgnat, Paulo Gonçalves

IEEE Signal Process. Lett., 2019

Time-Frequency Domain Turbo Equalization for Single-Carrier Underwater Acoustic Communications.

ChengBing He, Lianyou Jing, Rui Xi, Han Wang, Fei Hua, Qianqian Dang, QunFei Zhang

IEEE Access, 2019

Learning Causal Networks Topology From Streaming Graph Signals.

Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

Proceedings of the 26th European Signal Processing Conference, 2018

Decentralized clustering for node-variant graph filtering with graph diffusion LMS.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Penalty-Based multitask estimation with non-local linear equality constraints.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Penalty-based multitask distributed adaptation over networks with constraints.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017