4 papers
MRI Image Recovery using Damped Denoising Vector AMP
Subrata Sarkar, Rizwan Ahmad, Philip Schniter
Motivated by image recovery in magnetic resonance imaging (MRI), we propose a new approach to solving linear inverse problems based on iteratively calling a deep neural-network, so…
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel
Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge +2
We consider the non-coherent single-input multiple-output (SIMO) multiple access channel with general signaling under spatially correlated Rayleigh block fading. We propose a novel…
Bilinear Recovery using Adaptive Vector-AMP
Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan +1
We consider the problem of jointly recovering the vector and the matrix from noisy measurements $\boldsymbol{Y} = \boldsymbol{A}(\boldsymbol{b})\b…
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar +1
Estimating a vector from noisy linear measurements often requires use of prior knowledge or structural constraints on for accurat…