Zobrazeno 1 - 10
of 5 177
pro vyhledávání: '"Zou, Jun"'
In this work, we propose and analyze two two-level hybrid Schwarz preconditioners for solving the Helmholtz equation with high wave number in two and three dimensions. Both preconditioners are defined over a set of overlapping subdomains, with each p
Externí odkaz:
http://arxiv.org/abs/2408.07669
A nonlinear Helmholtz (NLH) equation with high frequencies and corner singularities is discretized by the linear finite element method (FEM). After deriving some wave-number-explicit stability estimates and the singularity decomposition for the NLH p
Externí odkaz:
http://arxiv.org/abs/2405.15344
We consider in this work an inverse acoustic scattering problem when only phaseless data is available. The inverse problem is highly nonlinear and ill-posed due to the lack of the phase information. Solving inverse scattering problems with phaseless
Externí odkaz:
http://arxiv.org/abs/2403.02584
Autor:
Wang, Xuyang, Zheng, Tao, Jia, Yanxiang, Zhao, Qianru, Zhang, Yu, Shi, Yuqi, Wang, Ning, Lu, Zhenguo, Zou, Jun, Li, Yongmin
In this study, a compact and low-power-consumption quantum random number generator (QRNG) based on a laser diode and silicon photonics integrated hybrid chip is proposed and verified experimentally. The hybrid chip's size is 8.8*2.6*1 mm3, and the po
Externí odkaz:
http://arxiv.org/abs/2401.11099
Micro scanning mirrors (MSM) extend the range and field of view of LiDARs, medical imaging devices, and laser projectors. However, a new class of soft-hinged MSMs contains out-of-plane translation in addition to the 2 degree-of-freedom rotations, whi
Externí odkaz:
http://arxiv.org/abs/2311.12778
To enhance robotic grasping capabilities, we are developing new contactless fingertip sensors to measure distance in close proximity and simultaneously detect the type of material and the interior structure. These sensors are referred to as pre-touch
Externí odkaz:
http://arxiv.org/abs/2311.10453
To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge hig
Externí odkaz:
http://arxiv.org/abs/2311.08758
Autor:
Li, Hongjie, Zou, Jun
The current study is motivated by the paper [Z. Liu, et al., {\it Science}, 289(5485), 2000], which investigates the incorporation of hard inclusions within a soft elastic matrix (HISE). The objective is to attain a negative mass density, which is ca
Externí odkaz:
http://arxiv.org/abs/2310.12861
A generalized unbalanced optimal transport distance ${\rm WB}_{\Lambda}$ on matrix-valued measures $\mathcal{M}(\Omega,\mathbb{S}_+^n)$ was defined in [arXiv:2011.05845] \`{a} la Benamou-Brenier, which extends the Kantorovich-Bures and the Wasserstei
Externí odkaz:
http://arxiv.org/abs/2310.09420
Invertible neural networks (INNs) represent an important class of deep neural network architectures that have been widely used in several applications. The universal approximation properties of INNs have also been established recently. However, the a
Externí odkaz:
http://arxiv.org/abs/2308.09367