8 citations · 8 across the 2 of their papers we have counts for
7 papers
Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements
Shuai Huang, Deqiang Qiu, Trac D. Tran
Designing efficient sparse recovery algorithms that could handle noisy quantized measurements is important in a variety of applications -- from radar to source localization, spectr…
Fast Nonconvex Mapping Using ADMM
Shuai Huang, James J. Lah, Jason W. Allen +1
Magnetic resonance (MR)- mapping is widely used to study hemorrhage, calcification and iron deposition in various clinical applications, it provides a direct and precise map…
Bayesian Massive MIMO Channel Estimation with Parameter Estimation Using Low-Resolution ADCs
Shuai Huang, Deqiang Qiu, Trac D. Tran
In order to reduce hardware complexity and power consumption, massive multiple-input multiple-output (MIMO) systems employ low-resolution analog-to-digital converters (ADCs) to acq…
3D unknown view tomography via rotation invariants
Mona Zehni, Shuai Huang, Ivan Dokmanić +1
In this paper, we study the problem of reconstructing a 3D point source model from a set of 2D projections at unknown view angles. Our method obviates the need to recover the proje…
Solving Complex Quadratic Systems with Full-Rank Random Matrices
Shuai Huang, Sidharth Gupta, Ivan Dokmanić
We tackle the problem of recovering a complex signal from quadratic measurements of the form , where…
Geometric Invariants for Sparse Unknown View Tomography
Mona Zehni, Shuai Huang, Ivan Dokmanić +1
In this paper, we study a 2D tomography problem for point source models with random unknown view angles. Rather than recovering the projection angles, we reconstruct the model thro…