187 citations · 247 across the 9 of their papers we have counts for
9 papers
A New Linear Programming Method in Sphere Packing
Qun Mo, Jinming Wen, Yu Xia
Inspired by the linear programming method developed by Cohn and Elkies (Ann. Math. 157(2): 689-714, 2003), we introduce a new linear programming method to solve the sphere packing…
The Tammes Problem in and Linear Programming Method
Yanlu Lian, Qun Mo, Yu Xia
The Tammes problem delves into the optimal arrangement of points on the surface of the -dimensional unit sphere (denoted as ), aiming to maximize the minim…
A Sharp Condition for Exact Support Recovery of Sparse Signals With Orthogonal Matching Pursuit
JInming Wen, Zhengchun Zhou, Jian Wang +2
Support recovery of sparse signals from noisy measurements with orthogonal matching pursuit (OMP) has been extensively studied in the literature. In this paper, we show that for an…
A Sharp Condition for Exact Support Recovery of with Orthogonal Matching Pursuit
Jinming Wen, Zhengchun Zhou, Jian Wang +2
Support recovery of sparse signals from noisy measurements with orthogonal matching pursuit (OMP) has been extensively studied. In this paper, we show that for any -sparse signa…
A new method on deterministic construction of the measurement matrix in compressed sensing
Qun Mo
Construction on the measurement matrix is a central problem in compressed sensing. Although using random matrices is proven optimal and successful in both theory and applicatio…
A Sharp Restricted Isometry Constant Bound of Orthogonal Matching Pursuit
Qun Mo
We shall show that if the restricted isometry constant (RIC) of the measurement matrix satisfies then the greedy algorit…
Compactly Supported Tensor Product Complex Tight Framelets with Directionality
Bin Han, Qun Mo, Zhenpeng Zhao
Although tensor product real-valued wavelets have been successfully applied to many high-dimensional problems, they can only capture well edge singularities along the coordinate ax…
A remark on the Restricted Isometry Property in Orthogonal Matching Pursuit
Qun Mo, Yi Shen
This paper demonstrates that if the restricted isometry constant of the measurement matrix satisfies then a greedy algorithm cal…
Remarks on the Restricted Isometry Property in Orthogonal Matching Pursuit algorithm
Qun Mo, Yi Shen
This paper demonstrates theoretically that if the restricted isometry constant of the compressed sensing matrix satisfies then a greedy…