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Mengjun Zhu

Researcher at National University of Defense Technology

Publications -  14
Citations -  30

Mengjun Zhu is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Coherent diffraction imaging & Aperture. The author has an hindex of 1, co-authored 14 publications receiving 15 citations.

Papers
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Journal ArticleDOI

Single-shot coherent power-spectrum imaging of objects hidden by opaque scattering media.

TL;DR: This work reports coherent imaging of objects behind opaque scattering media with only one piece of the Fourier transform power spectrum pattern under coherent illumination, which extends the methodology of x-ray crystallography to visible-light scattering imaging for underwater and living biomedical imaging.
Journal ArticleDOI

Practical generation of arbitrary high-order cylindrical vector beams by cascading vortex half-wave plates.

TL;DR: It is experimentally demonstrated that arbitrary HCV beams are effectively achieved by the proposed method and the order numbers of CV beams can be greatly expanded by cascading limited types of VHPs.
Journal ArticleDOI

Optimizing Single-Shot Coherent Power-Spectrum Scattering Imaging Adaptively by Tuning Feedback Coefficient for Practical Exposure Conditions

TL;DR: In this paper, a method for estimating the optimal β value from the captured raw power-spectrum images adaptively to optimize the single-shot coherent power spectrum imaging for practical exposure conditions was proposed.
Journal ArticleDOI

Improving Low-Dispersion Bandwidth of the Silicon Photonic Crystal Waveguides for Ultrafast Integrated Photonics

TL;DR: In this article, a novel slow-light silicon photonic crystal waveguide was designed to operate over an extremely wide flat band for ultrafast integrated nonlinear photonics by conveniently adjusting the radii and positions of the second airhole rows.
Patent

Method for compute migration of an unmanned aerial vehicle system

TL;DR: In this paper, an unmanned aerial vehicle system computing migration method and a server is described, where functions are divided into local dependencies and migrable functions and the optimal partition point is obtained by iterative operation at the minimum resource consumption of the model.