activity
20142021
most citedAn Efficient Manifold Algorithm for Constructive Interference based Constant Envelope Precoding

76 citations · 116 across the 13 of their papers we have counts for

collaborators

13 papers

cs.LG2021

AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature

Yihao Luo, Ailing Yang, Fupeng Sun +1

In this paper, we introduce the adaptive Wasserstein curvature denoising (AWCD), an original processing approach for point cloud data. By collecting curvatures information from Was…

math.DG2020★ 2 cited

Geometric Characteristics of Wasserstein Metric on SPD(n)

Yihao Luo, Shiqiang Zhang, Yueqi Cao +1

Wasserstein distance, especially among symmetric positive-definite matrices, has broad and deep influences on development of artificial intelligence (AI) and other branches of comp…

math.OC2020

Torsion Discriminance for Stability of Linear Time-Invariant Systems

Yuxin Wang, Huafei Sun, Yueqi Cao +1

This paper proposes a new approach to describe the stability of linear time-invariant systems via the torsion of the state trajectory. For a system where…

math.ST2019★ 6 cited

Fisher-Rao Geometry and Jeffreys Prior for Pareto Distribution

Mingming Li, Huafei Sun, Linyu Peng

In this paper, we investigate the Fisher-Rao geometry of the two-parameter family of Pareto distribution. We prove that its geometrical structure is isometric to the Poincaré upper…

stat.ML2019★ 13 cited

Efficient Weingarten Map and Curvature Estimation on Manifolds

Yueqi Cao, Didong Li, Huafei Sun +2

In this paper, we propose an efficient method to estimate the Weingarten map for point cloud data sampled from manifold embedded in Euclidean space. A statistical model is establis…

math.OC2019★ 3 cited

Application of gradient descent algorithms based on geodesic distances

Xiaomin Duan, Huafei Sun, Linyu Peng

In this paper, the Riemannian gradient algorithm and the natural gradient algorithm are applied to solve descent direction problems on the manifold of positive definite Hermitian m…

math.OC2018

Description of Stability for Linear Time-Invariant Systems Based on the First Curvature

Yuxin Wang, Huafei Sun, Shoudong Huang +1

This paper focuses on using the first curvature of trajectory to describe the stability of linear time-invariant system. We extend the results for two and three-dimensional…

math.OC2018★ 2 cited

Description of Stability for Two and Three-Dimensional Linear Time-Invariant Systems Based on Curvature and Torsion

Yuxin Wang, Huafei Sun, Yang Song +2

This paper focuses on using curvature and torsion to describe the stability of linear time-invariant system. We prove that for a two-dimensional system , (i) if…

cs.IT2017★ 11 cited

MU-MIMO Communications with MIMO Radar: From Co-existence to Joint Transmission

Fan Liu, Christos Masouros, Ang Li +2

Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts both as a radar and a communication…

cs.IT2017★ 76 cited

An Efficient Manifold Algorithm for Constructive Interference based Constant Envelope Precoding

Fan Liu, Christos Masouros, Pierluigi Vito Amadori +1

In this letter, we propose a novel manifold-based algorithm to solve the constant envelope (CE) precoding problem with interference exploitation. For a given power budget, we desig…

math.DG2017

Para Blaschke isoparametric spacelike hypersurfaces in Lorentzian space forms

Xiu Ji, Tongzhu Li, Huafei Sun

Let be an -dimensional umbilic-free hypersurface in the -dimensional Lorentzian space form . Three basic invariants of under the conformal trans…

math.DG2014

Principal bundles over statistical manifolds

Didong Li, Huafei Sun, Chen Tao +1

In this paper, we introduce the concept of principal bundles on statistical manifolds. After necessary preliminaries on information geometry and principal bundles on manifolds, we…

math.DG2014★ 3 cited

Riemannian Holonomy Groups of Statistical Manifolds

Didong Li, Huafei Sun, Chen Tao +1

Normal distribution manifolds play essential roles in the theory of information geometry, so do holonomy groups in classification of Riemannian manifolds. After some necessary prel…