298 citations · 934 across the 23 of their papers we have counts for
6 papers · 1 filter
Transient Performance Analysis of the -RLS
Wei Gao, Jie Chen, Cédric Richard +2
The recursive least-squares algorithm with -norm regularization (-RLS) exhibits excellent performance in terms of convergence rate and steady-state error in identif…
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs
Wei Gao, Jie Chen, Cédric Richard
Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient convergence behavior has been…
A Plug-and-Play Priors Framework for Hyperspectral Unmixing
Min zhao, Xiuheng Wang, Jie Chen +1
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis. It aims to separate mixed pixels into the component materials and their corresponding a…
Affine Combination of Diffusion Strategies over Networks
Danqi Jin, Jie Chen, Cedric Richard +2
Diffusion adaptation is a powerful strategy for distributed estimation and learning over networks. Motivated by the concept of combining adaptive filters, this work proposes a comb…
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
Roula Nassif, Stefan Vlaski, Cedric Richard +2
The problem of learning simultaneously several related tasks has received considerable attention in several domains, especially in machine learning with the so-called multitask lea…
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS
Danqi Jin, Jie Chen, Cedric Richard +1
Group zero-attracting LMS and its reweighted form have been proposed for addressing system identification problems with structural group sparsity in the parameters to estimate. Bot…