Weidong Li

Accelerating DGTD Analysis for Highly Resonant Problems: A Derivative-Enhanced GPOF Method

Jia-Wei Qian, Jia-Pan Li, Weidong Li, Jun Hu et autres

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An efficient synthesizing method for super-massive sparse phased array in non-terrestrial network applications

Yin Haoyu, Weidong Li, Hao Zhangcheng, Wei Hong

In this paper, a method for designing supermassive sparse phased arrays (SMSPAs) known as the unitary modified matrix enhancement and matrix pencil (UMMEMP) method is proposed. In this method, an eigenvalue pairing method, which is inspired by the modified MEMP, effectively pairs …

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Production simulation and configuration optimization based on discrete event simulation: A case study of an aerospace assembly workshop

Shengluo Yang, Shuoxin Yin, Junyi Wang, Weidong Li et autres

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The Impacts of a Teaching Personal and Social Responsibility Intervention on Social and Emotional Competence in Physical Education: A Quasi-Experimental Study

Weidong Li, Zh Yeng Chong, Wei Xu, Wanying Zhang et autres

Background: The Teaching Personal and Social Responsibility (TPSR) model in physical education (PE) has been shown to promote Social and emotional competence (SEC). However, the underlying mechanisms through which TPSR enhan... | Find, read and cite all the research you need on …

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A Hybrid OMP-Broyden Algorithm for Thinning Antenna Array

Xiaohui Tang, Jiawei Li, Weidong Li

Based on orthogonal matching pursuit (OMP) and Broyden method, a hybrid optimization algorithm is proposed for thinning antenna arrays. The OMP algorithm can select the appropriate array elements for thinned arrays, and the Broyden quasi-Newton method can minimize sidelobe levels (SLL) by …

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Muon/Pion Identification at BESIII based on Variational Quantum Classifier

Zhipeng Yao, Xingtao Huang, Teng Li, Weidong Li et autres

In collider physics experiments, particle identification (PID), i. e. the identification of the charged particle species in the detector is usually one of the most crucial tools in data analysis. In the past decade, machine learning techniques have gradually become one of …

Event index-based analysis in the JUNO experiment

Yixiang Yang, Weidong Li, Tao Lin, J. H. Zou et autres

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A Modified Frequency Nonlinear Chirp Scaling Algorithm for High-Speed High-Squint Synthetic Aperture Radar with Curved Trajectory

Kun Deng, Yan Huang, Zhanye Chen, Dongning Fu et autres

The imaging of high-speed high-squint synthetic aperture radar (HSHS-SAR), which is mounted on maneuvering platforms with curved trajectory, is a challenging task due to the existence of 3-D acceleration and the azimuth spatial variability of range migration and Doppler parameters. Although existing …

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Muon/pion identification at BESIII based on variational quantum classifier

Zhipeng Yao, Xingtao Huang, Teng Li, Weidong Li et autres

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An approach to study interactions of antineutrons with CsI at a $$J/\psi $$ factory

S. C. Yuan, Liangliang Wang, Weidong Li

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An extended frequency nonlinear chirp scaling algorithm for high-speed high-squint SAR with curved trajectory

Kun Deng, Yan Huang, Zhanye Chen, Dongning Fu et autres

The imagery of High-Speed High-Squint (HSHS) synthetic aperture radar with curved trajectory is a challenging task due to the existence of acceleration, the azimuth-dependent range migration, and azimuth-dependent Doppler parameters. Although existing imaging algorithms can deal with most of high-squint scenarios based …

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Multiband iterative coherent processing method based on the ADMM framework

Lu Ruimin, Weidong Li, R. Wang, Lianjun Wang et autres

Multiband radar bandwidth extrapolation is an effective way to broaden bandwidth, which can realize high resolution at low cost and is of great significance for the detection and identification of large-range unmanned aerial vehicle clusters. Due to system error and multiband measurement …

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