2 citations · 3 across the 2 of their papers we have counts for
7 papers
Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices
Maboud F. Kaloorazi, Jie Chen
Matrices with low numerical rank are omnipresent in many signal processing and data analysis applications. The pivoted QLP (p-QLP) algorithm constructs a highly accurate approximat…
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…
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
Min Zhao, Tiande Gao, Jie Chen +1
Nowadays, nonnegative matrix factorization (NMF) based methods have been widely applied to blind spectral unmixing. Introducing proper regularizers to NMF is crucial for mathematic…
Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation
Xiuheng Wang, Jie Chen, Qi Wei +1
Hyperspectral image (HSI) super-resolution is commonly used to overcome the hardware limitations of existing hyperspectral imaging systems on spatial resolution. It fuses a low-res…
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…