Continuous spectrum nonlinear frequency division multiplexing transmission based on subcarrier index modulation [0.03%]
连续光谱非线性频移复用传输基于子载波索引调制
Yu Zhang,Chenglin Bai,Zhihang Sun et al.
Yu Zhang et al.
In a continuous spectrum nonlinear frequency division multiplexing (CS-NFDM) system, the existence of a guard interval (GI) avoids burst interaction during propagation, but it also severely hampers the enhancement of spectral efficiency (SE...
315 mJ, 430 ps, high-energy laser at 1 kHz repetition rate based on a zig-zag slab amplifier [0.03%]
一种基于曲折板放大的1kHz重复频率的315mJ、430ps高能量激光器
Guangdao Yang,Xianghao Meng,Zhaoqing Gong et al.
Guangdao Yang et al.
We have demonstrated a 1 µm high-energy zig-zag slab laser amplifier. Operating at a repetition rate of 1 kHz, the output energy was 315 mJ with a pulse duration of 430 ps. A two-stage end-pumped Nd:YVO4 laser was used to pre-amplify the s...
Reconstruction of partially obscured objects with a physics-driven self-training neural network [0.03%]
基于物理的自训练神经网络部分遮挡物体重建研究
Mingjun Xiang,Kai Zhou,Hui Yuan et al.
Mingjun Xiang et al.
We investigate artificial-intelligence-supported in-line holographic imaging with coherent terahertz (THz) radiation. The goal is to reconstruct three-dimensional (3D) scenes from images obtained with detectors that recorded only the power ...
Highly compressed and freely switchable Talbot effect enabled by DMD and a 4f system [0.03%]
基于DMD和4f系统的高度压缩且可自由切换的塔尔博特效应
Jia-Xuan Liang,Zi-Jin Lv,Yun-Long Zhu et al.
Jia-Xuan Liang et al.
The ability to rapidly switch and generate Talbot effect light fields with small spatial periods is essential for applications in optical metrology, lithography, and biological microscopy. Currently, existing generation schemes that use sta...
Inter-layer edge supplementation in computer-generated multi-depth 3D holograms [0.03%]
计算机生成的多深度三维全息图的层间边补充方法研究
Xiangrui Duan,Zichun Le
Xiangrui Duan
Generating 3D holograms with correct occlusion relationships is one of the most challenging research topics in the field of holography. We propose what we believe to be a novel layer-based hologram synthesis method for multi-depth 3D hologr...
High-performance accelerometer array with chirped pulse modulation using reference interferometric architecture [0.03%]
基于参考干涉架构的脉冲啁啾调制高性能加速度计阵列
Haozhi Wang,Jianguan Tang,Cong Liu et al.
Haozhi Wang et al.
This paper demonstrates a high-performance optical fiber disk accelerometer employing chirped pulse demodulation. The system design features a reference interferometer architecture that actively compensates for low-frequency phase noise ori...
Two-dimension high efficiency beam steering based on liquid crystal polarization gratings [0.03%]
基于液晶偏振光栅的二维高效光束扫描技术
Zifan Li,Bijun Yu,Junhao Gong et al.
Zifan Li et al.
Cascaded liquid crystal polarization grating (LCPG) structure is commonly used to realize two-dimension large angle optical beam steering. In this architecture, different LCPGs have different incident angles. As a liquid crystal half-wave p...
Phase-assisted camera-in-the-loop hologram optimization with Fourier aperture function constraint [0.03%]
基于傅里叶孔径函数约束的相位辅助相机闭环全息图优化
Youngrok Kim,Dong-Woo Seo,Chihyun In et al.
Youngrok Kim et al.
We propose a phase-assisted camera-in-the-loop optimization technique for holographic displays to enhance the quality of phase representation. Phase-only hologram is one of the most popular methods for three-dimensional hologram reproductio...
Integrating DFG spectroscopy with machine learning for direct and accurate gas pressure diagnosis from spectral imagery [0.03%]
结合DFG光谱和机器学习直接、准确地从光谱图像中诊断气体压力
Alireza Raheemi Bahambari,Alireza Khorsandi,Iraj Jabbari
Alireza Raheemi Bahambari
We introduce what we believe to be a novel machine learning (ML)-based ResNet algorithm for predicting gas pressure from spectral imagery, eliminating the need for traditional peak fitting. Evaluated using simulated and experimental carbon ...
Jinyan Xu,Yurui Xie,Ju Deng et al.
Jinyan Xu et al.
Lightning was challenging to capture using traditional image processing methods due to interference from city lights, clouds, and trees. However, deep learning had the potential to surpass traditional methods by enabling fine branch detecti...