Considering the characteristics of electromagnetic scattering of radar observation targets, it is possible to introduce compressed sensing theory into computational imaging. For the sparse undersampling problem of sce...
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ISBN:
(纸本)9781665482271
Considering the characteristics of electromagnetic scattering of radar observation targets, it is possible to introduce compressed sensing theory into computational imaging. For the sparse undersampling problem of scene data, it is required to achieve higher reconstruction accuracy with lower complexity. However, it is often difficult to construct and solve the sparse representation dictionary in complex scenarios, and it is difficult to fully exploit the correlation and sparsity between data. In addition, the design of observation matrix and reconstruction algorithm is also difficult. In this paper, the imaging problem is modeled as an inverse scattering problem based on the mathematical model of metasurface antenna imaging, and the feasibility of the near-field computational imaging method of generative adversarial network is analyzed from the perspective of solving the inverse problem. Using the measured radiation field data to conduct imaging experiments, the network can reconstruct the imaging target quickly and with high quality under the condition of low scene compressed ratio, which verifies the effectiveness and robustness of the method.
In this paper, a broadband 5G MIMO mobile antenna with a shared radiator is proposed. The working band range is 3.3-6.0GHz, covering n77, n78, n79 and WLAN 5G working bands, which can meet a large number of applicatio...
In this paper, a broadband 5G MIMO mobile antenna with a shared radiator is proposed. The working band range is 3.3-6.0GHz, covering n77, n78, n79 and WLAN 5G working bands, which can meet a large number of application scenarios of 5G mobile phones. In addition, the antenna is applied to self-decoupling, defect ground, direction diversity and other technologies and principles in the decoupling way, without the use of complex decoupling structure, to ensure that its structure is simple and easy to process, small size is suitable for today's 5G mobile phones.
作者:
Feng, NaixingLi, HongyangHuang, ZhixiangLiu, Qi QiangAnhui University
Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education The Information Materials and Intelligent Sensing Laboratory of Anhui Province The Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes Hefei China Hangzhou Dianzi University
School of Electronics and Information Engineering Hangzhou310018 China
This paper proposes a novel nonconformal meshbased dual-primal spectral element tearing and interconnecting (SETI-DP) method designed for the efficient transient simulation of complex large-scale heat conduction probl...
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A U-shaped-like parasitic strip loading antenna is proposed and designed, which can work in L1 band of GPS with circular polarization (CP) characteristics. The antenna consists of ground plane, dielectric, radiation p...
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A beamforming microstrip array antenna for K-band is proposed. The antenna array is a 4*4 array, the array elements are composed of slotted rectangular microstrip antennas, and the feed network is a combination of ser...
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A beamforming microstrip array antenna for K-band is proposed. The antenna array is a 4*4 array, the array elements are composed of slotted rectangular microstrip antennas, and the feed network is a combination of series and parallel connections. The beamforming is achieved by using a microstrip phase shift network. The design results show that the VSWR of the antenna array is less than 1.8dB in the operating frequency bandwidth of 24.0 GHz-24.5 GHz. This antenna array can achieve a gain of more than 7.6dB in the beam range of 22.5° azimuth and 30^° pitch.
Objective and Impact *** this work,we develop a universal anatomical landmark detection model which learns once from multiple datasets corresponding to different anatomical *** with the conventional model trained on a...
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Objective and Impact *** this work,we develop a universal anatomical landmark detection model which learns once from multiple datasets corresponding to different anatomical *** with the conventional model trained on a single dataset,this universal model not only is more light weighted and easier to train but also improves the accuracy of the anatomical landmark *** accurate and automatic localization of anatomical landmarks plays an essential role in medical image ***,recent deep learning-based methods only utilize limited data from a single *** is promising and desirable to build a model learned from different regions which harnesses the power of big *** model consists of a local network and a global network,which capture local features and global features,*** local network is a fully convolutional network built up with depth-wise separable convolutions,and the global network uses dilated convolution to enlarge the receptive field to model global *** evaluate our model on four 2D X-ray image datasets totaling 1710 images and 72 landmarks in four anatomical *** experimental results show that our model improves the detection accuracy compared to the state-of-the-art *** model makes the first attempt to train a single network on multiple datasets for landmark *** results qualitatively and quantitatively show that our proposed model performs better than other models trained on multiple datasets and even better than models trained on a single dataset separately.
This paper investigates a novel optimal control scheme for affine nonlinear systems. With the complexity of Hamilton-Jacobi-Bellman function and the linear differential inclusion based on neural network model is used ...
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A microstrip circular polarization (CP) patch antenna with a combination of unequal slots and arc-shaped protruding patches is proposed and designed, which can work for L2 band of GPS. The antenna is composed of groun...
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A four-arm Archimedean spiral multi-mode OAM (Orbital Angular Momentum) antenna with bandwidth of 1.34GHz-9.53GHz is presented and analyzed. The bandwidth of traditional OAM antenna is dramatically improved by utilizi...
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An ultra-wideband filter with wide stopband performance with single notch using E-shaped resonator is proposed. Based on a U-shaped MMR structure loaded by an open-circuited stub connected at its center, the loaded ba...
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An ultra-wideband filter with wide stopband performance with single notch using E-shaped resonator is proposed. Based on a U-shaped MMR structure loaded by an open-circuited stub connected at its center, the loaded basic open-stub structure can generate transmission zeros on both sides of the passband to improve the in-band selectivity. Meanwhile, the symmetrical U-shaped open stub introduced not only strengthens the out-of-band suppression ability, but also optimizes the lower stopband. To suppress the in-band interference phenomenon, the proposed UWB BPF used E-shaped resonator coupled to the main transmission line of the basic UWB BPF to generate a notch band at 8GHz (Satellite communications X band). The filter has passband from 2.74 GHz to 11.5 GHz, the insertion loss is lower than 0.6dB and the filter has a relative high selectivity (30dB skirt factor is 0.891), Meanwhile, the filter has a wide stopband of up to 20.8GHz ($S21 \lt -20$dB).
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