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Dexin Ye
Researcher at Zhejiang University
Publications - 90
Citations - 2350
Dexin Ye is an academic researcher from Zhejiang University. The author has contributed to research in topics: Metamaterial & Permittivity. The author has an hindex of 17, co-authored 81 publications receiving 1819 citations. Previous affiliations of Dexin Ye include University of Arizona & Massachusetts Institute of Technology.
Papers
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Experimental observation of Weyl points
TL;DR: In this paper, angle-resolved microwave transmission measurements through a double-gyroid photonic crystal with inversion-breaking where Weyl points have been theoretically predicted to occur were performed.
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Optical broadband angular selectivity.
TL;DR: A simple approach that provides narrow-angle selectivity over a broad range of wavelengths using heterostructured photonic crystals that act as a mirror for all but a narrow range of viewing angles where the crystals are transparent is demonstrated.
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Ultrawideband Dispersion Control of a Metamaterial Surface for Perfectly-Matched-Layer-Like Absorption
Dexin Ye,Dexin Ye,Zhiyu Wang,Zhiyu Wang,Kuiwen Xu,Huan Li,Jiangtao Huangfu,Zheng Wang,Lixin Ran +8 more
TL;DR: By deliberately controlling the dispersion and dissipation of a metamaterial, an ultrawideband perfect metamMaterial absorber with complex-valued constitutive parameters strictly satisfying the modified model of a perfectly matched layer, can be achieved.
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Wireless Hand Gesture Recognition Based on Continuous-Wave Doppler Radar Sensors
Tenglong Fan,Chao Ma,Zhitao Gu,Qinyi Lv,Jialong Chen,Dexin Ye,Jiangtao Huangfu,Yongzhi Sun,Changzhi Li,Lixin Ran +9 more
TL;DR: Different from the frequency-domain “micro-Doppler” approach, the proposed remote gesture recognition based on linear motion reconstruction is able to recognize definitive signatures for the corresponding motions, exhibiting promising potential in practical applications of human-computer interaction.
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High Dynamic-Range Motion Imaging Based on Linearized Doppler Radar Sensor
TL;DR: This paper proposes a comprehensive approach that can be used to improve the demodulation linearity of microwave DRSs, such that detailed time-domain motion information ranging from micro-scale to large scale can be accurately reconstructed.