Explanipedia

A Cross-Modal Deep Feature Fusion Framework Based on Ensemble Learning for Land Use Classification Open

Xiaohuan Wu, Houji Qi, Keli Wang, Yikun Liu, Yang Wang · 2025

Land use classification based on multi-modal data fusion has gained significant attention due to its potential to capture the complex characteristics of urban environments. However, effectively extracting and integrating discriminative fea…

From Participation to Embedding: Unpacking the Income Effects of E-Commerce-Led Digital Chain on Chinese Farmers Open

Yuanyuan Peng, Xiaohuan Wu, Yueshu Zhou · 2025

This study aims to investigate the multifaceted effects of e-commerce-led digital chain engagement on the income of Chinese crop farmers, distinguishing between participation status and participation depth. The analysis uses data from the …

Parameter Estimation of Ocean Impulsive Noise Using Hybrid Deep Neural Networks Open

Xiao Feng, Xiaohuan Wu, Feng Tian · 2025

Impulsive noise exists widely in ocean environment and statistical parameters of impulsive noise are necessary for ocean signal processing and communication system. However, statistical parameters are generally assumed known or acquired th…

Direction of arrival estimation based on modified fast off‐grid L1‐SVD Open

Xiangjun Xu, Mingwei Shen, Xiaohuan Wu, Di Wu, Daiyin Zhu · 2021

This paper proposes a modified fast off‐grid L1‐SVD (M‐FOGL1SVD) method for direction of arrival (DOA) estimation. Unlike FOGL1SVD, after obtaining the positions of the nonzero rows of the signal sources, the off‐grid overcomplete basis ma…

Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm Open

Tao Ma, Xiangning Fan, Xiaohuan Wu · 2021

Channel estimation is a challenging issue in millimeter-wave massive multiple-input-multiple-output (MIMO) communication systems due to the large number of antennas in the transceiver. Existing methods are usually based on phase shifters w…

XLPE cable health assessment based on Relief-F feature weighted FSVM Open

Xiaohuan Wu, Yang Liu, Wang Li-qun, Xinzhuo Ren, Xianjun Tan · 2021

For the cross-linked polyethylene (XLPE) cable health status assessment process, there are noise data for each feature parameter and the importance of each dimension feature is difficult to determine, which leads to deviations in the cable…

An SBL-Based Coherent Source Localization Method Using Virtual Array Output Open

Zeyun Zhang, Xiaohuan Wu, Chunguo Li, Wei‐Ping Zhu · 2019

Direction of arrival (DOA) estimation as a fundamental issue in array signal processing has been extensively studied for many applications in military and civilian fields. Many DOA estimation algorithms have been developed for different ap…

Joint Beamforming Design for Energy Efficient Wireless Communications in Heterogeneous Intelligent Connected Vehicles Networks Open

Juan Zhao, Haibo Dai, Xiaohuan Wu, Xiaolong Xu, Wei‐Ping Zhu · 2019

The wireless communications is studied for the intelligent connected vehicles (ICV) networks by supporting heterogeneous access with direct access of one vehicle yet the dual-hop access of another vehicle. The dual-hop access is enhanced b…

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications Open

Xiaohuan Wu, Wei‐Ping Zhu, Min Lin · 2018

Channel estimation is essential for precoding/combining in millimeter wave (mmWave) communications. However, accurate estimation is usually difficult because the receiver can only observe the low-dimensional projection of the received sign…

Bayesian network-based modal frequency–multiple environmental factors pattern recognition for the Xinguang Bridge using long-term monitoring data Open

He‐Qing Mu, Zhenjie Zheng, Xiaohuan Wu, Cheng Su · 2018

Modal frequency is an important indicator reflecting the health status of a structure. Numerous investigations have shown that its fluctuations are related to the changing environmental factors. Thus, modelling the modal frequency–multiple…

Gridless Two-Dimensional Doa Estimation With L-Shaped Array Based on the Cross-Covariance Matrix Open

Xiaohuan Wu, Wei‐Ping Zhu, Jun Yan · 2018

The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution. However, its computational workload might be unaffordable when the num…

A Spatial Filtering Based Gridless DOA Estimation Method for Coherent Sources Open

Xiaohuan Wu, Wei‐Ping Zhu, Jun Yan, Zeyun Zhang · 2018

In this paper, we investigate a covariance matrix reconstruction approach (CMRA) for direction-of-arrival (DOA) estimation in correlated/coherent sources scenario. We incorporate a spatial filtering (SF) model into our recently developed m…

A High-resolution DOA Estimation Method with a Family of Nonconvex Penalties Open

Xiaohuan Wu, Wei‐Ping Zhu, Jun Yan · 2017

The low-rank matrix reconstruction (LRMR) approach is widely used in direction-of-arrival (DOA) estimation. As the rank norm penalty in an LRMR is NP-hard to compute, the nuclear norm (or the trace norm for a positive semidefinite (PSD) ma…

Atomic Norm Based Localization of Far-Field and Near-Field Signals with Generalized Symmetric Arrays Open

Xiaohuan Wu · 2017

Most localization methods for mixed far-field (FF) and near-field (NF) sources are based on uniform linear array (ULA) rather than sparse linear array (SLA). In this paper, we propose a localization method for mixed FF and NF sources based…

Power Quality Disturbance Classification Based on A Novel Fourier Neural Network and Hyperbolic S-transform Open

Lin Lin, Xiaohuan Wu, Jiajin Qi, Hongxin Ci · 2016

Power quality (PQ) disturbances recognition is the foundation of power quality analysis and improvement.In order to improve the classification accuracy and efficiency, a new classification approach based on modified Fourier neural networks…

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