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A novel frequency selective surface (FSS) with ultra-wideband (UWB) polarization selective response is proposed, in which a unit cell consists of two metallic plane of a novel asymmetry pattern. Simulation results prove that the FSS can realize selectivity of waves of a certain polarization with the bandwidth more than 36.5%, and for different incident angles the bandwidth can be broader. Moreover,...
In this paper, a novel miniaturized band-reject frequency selective surface (FSS) is proposed, in which a unit cell consists of one metallic plane of a novel interleaving pattern and a dielectric substrate. Simulation results show that dimension of the basic structure is only 0.081λ×0.081λ, and the miniaturized performance can be further improved by changing widths of strips, distances between adjacent...
Unlike the traditional two-dimensional periodic arrays, a novel cubic frequency selective surface is proposed. For each unit, metal strips of a novel pattern are placed on dielectric substrates, and together form the six faces of a FSS cube, which is put in the middle of dielectric cubes. Simulation is conducted to analyze the characteristic of the FSS, and results are compared with traditional single-layer...
In this paper, a novel double-layer frequency selective surface (FSS) is proposed. Each layer consists of two semi-circle fractal elements put into a circular structure on a dielectric substrate. Simulation by CST MICROWAVE STUDIO® is conducted to testify the characteristics of the FSS. The results show that the novel structure has three resonant frequencies in the frequency band 0-30GHz with relatively...
A novel bandstop Frequency Selective Surface (FSS) using octagonal fractal structures is presented in this paper. By bending the edges inside and outside, the cell perimeter of the FSS can be effectively elongated, and therefore miniaturize the resonant frequency. And because of the symmetry configuration, the proposed FSS has achieved excellent stability for different polarizations and incident angles...
Our aim was to investigate the registration and fusion of models reconstructed from multimodal craniocerebral sectional images, providing basis of craniocerebral structure visualization for surgical navigation. The craniocerebral dataset from different modalities were obtained and constructed. For segmentation, “training area” and “threshold” methods were performed for white matter in MRI coronary...
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