activity
20102018
most citedFast and Efficient Compressive Sensing using Structurally Random Matrices

402 citations · 528 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2018★ 22 cited

Coprime Sensing via Chinese Remaindering over Quadratic Fields, Part I: Array Designs

Conghui Li, Lu Gan, Cong Ling

A coprime antenna array consists of two or more sparse subarrays featuring enhanced degrees of freedom (DOF) and reduced mutual coupling. This paper introduces a new class of plana…

cs.CL2018★ 12 cited

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

Dongxiang Zhang, Lei Wang, Luming Zhang +2

Solving mathematical word problems (MWPs) automatically is challenging, primarily due to the semantic gap between human-readable words and machine-understandable logics. Despite th…

cs.IT2017

Atomic Norm Denoising-Based Joint Channel Estimation and Faulty Antenna Detection for Massive MIMO

Peng Zhang, Lu Gan, Cong Ling +1

We consider joint channel estimation and faulty antenna detection for massive multiple-input multiple-output (MIMO) systems operating in time-division duplexing (TDD) mode. For sys…

cs.IT2017★ 12 cited

Uniform Recovery Bounds for Structured Random Matrices in Corrupted Compressed Sensing

Peng Zhang, Lu Gan, Cong Ling +1

We study the problem of recovering an -sparse signal from corrupted measurements $\mathbf{y} = \mathbf{A}\mathbf{x}^{\star}+\mathbf{z}^{\star…

cs.IT2014★ 12 cited

Modulated Unit-Norm Tight Frames for Compressed Sensing

Peng Zhang, Lu Gan, Sumei Sun +1

In this paper, we propose a compressed sensing (CS) framework that consists of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a column-wise orthonormal ma…

cs.IT2013★ 1 cited

Deterministic Sequences for Compressive MIMO Channel Estimation

Peng Zhang, Lu Gan, Sumei Sun +1

This paper considers the problem of pilot design for compressive multiple-input multiple-output (MIMO) channel estimation. In particular, we are interested in estimating the channe…