3 citations · 5 across the 5 of their papers we have counts for
5 papers
Robust Real-time Ellipse Fitting Based on Lagrange Programming Neural Network and Locally Competitive Algorithm
Hao Wang, Chi-Sing Leung, Hing Cheung So +3
Given a set of 2-dimensional (2-D) scattering points, which are usually obtained from the edge detection process, the aim of ellipse fitting is to construct an elliptic equation th…
Robust MIMO Radar Target Localization based on Lagrange Programming Neural Network
Hao Wang, Chi-Sing Leung, Hing Cheung So +3
This paper focuses on target localization in a widely distributed multiple-input-multiple-output (MIMO) radar system. In this system, range measurements, which include the sum of d…
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework
Hao Wang, Ruibin Feng, Chi-Sing Leung
The aim of sparse approximation is to estimate a sparse signal according to the measurement matrix and an observation vector. It is widely used in data analytics, image processing,…
ADMM-MCP Framework for Sparse Recovery with Global Convergence
Hao Wang, Zhanglei Shi, Chi-Sing Leung +1
In compressed sensing, the l0-norm minimization of sparse signal reconstruction is NP-hard. Recent work shows that compared with the best convex relaxation (l1-norm), nonconvex pen…
l0-norm Based Centers Selection for Training Fault Tolerant RBF Networks and Selecting Centers
Hao Wang, Chi-Sing Leung, Hing Cheung So +2
The aim of this paper is to train an RBF neural network and select centers under concurrent faults. It is well known that fault tolerance is a very attractive property for neural n…