39 citations · 39 across the 6 of their papers we have counts for
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Sharper Bounds on Four Lattice Constants
Jinming Wen, Xiao-Wen Chang
The Korkine--Zolotareff (KZ) reduction, and its generalisations, are widely used lattice reduction strategies in communications and cryptography. The KZ constant and Schnorr's cons…
On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model
Jinming Wen, Xiao Wen Chang
This paper is concerned with detecting an integer parameter vector inside a box from a linear model that is corrupted with a noise vector following the Gaussian distribution. One o…
Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery
Jinming Wen, Rui Zhang, Wei Yu
Exact recovery of -sparse signals from linear measurements , where is a sensing matrix, arises from many applications.…
Exact Sparse Signal Recovery via Orthogonal Matching Pursuit with Prior Information
Jinming Wen, Wei Yu
The orthogonal matching pursuit (OMP) algorithm is a commonly used algorithm for recovering -sparse signals $\x\in \mathbb{R}^{n}$ from linear model $\y=\A\x$, where $\A\in \mat…
Improved Upper Bounds on the Hermite and KZ Constants
Jinming Wen, Xiao-Wen Chang, Jian Weng
The Korkine-Zolotareff (KZ) reduction is a widely used lattice reduction strategy in communications and cryptography. The Hermite constant, which is a vital constant of lattice, ha…
A New Analysis for Support Recovery with Block Orthogonal Matching Pursuit
Haifeng Li, Jinming Wen
Compressed Sensing (CS) is a signal processing technique which can accurately recover sparse signals from linear measurements with far fewer number of measurements than those requi…