The sparse representation of signal via dictionary learning algorithms is widely used in
signal processing field. Since there is redundancy in the new space defined by …

It is known that the subspace method is effective for radar target recognition. Its key step is to
find a suitable low-dimensional subspace. In this paper, a novel subspace method, namely …

A new algorithm named Uncorrelated Discriminant Neighborhood Preserving Projections
(UDNPP) is proposed based on manifold learning. And UDNPP algorithm includes the …

A kernel optimization method based on fusion kernel for high-resolution range profile
(HRRP) is proposed in this paper. Based on the fusion of-norm and-norm Gaussian kernels …

The data distribution (DD) of synthetic aperture radar (SAR) vehicle targets in the actual
missions is often imbalanced. However, the recent algorithms for SAR target recognition are …

In this paper, a novel fuzzy optimal transformation (FOT) method for radar target recognition
using high-resolution range profile (HRRP) is proposed. The goal of this method is to …

Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian
and interdimension dependently distributed data, the statistical modelling of which is a …

The objective of this paper is to make an improvement on ensemble learning for imbalanced
problem. Multi-matrices approach and nearest entropy are introduced into model of base …

A high range resolution profile (HRRP) is a good characteristic for radar target, and radar
target recognition by using HRRP has been studied extensively. Target recognition by fusion …