Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency.

Frontiers in public health·2026
Same author

Comparisons of CEAS, PC-CLD, and CRDS for NO<sub>2</sub> measurements under a complex atmosphere in Chengdu, China.

Journal of environmental sciences (China)·2026
Same author

Reproductive tract commensal bacterium Enterococcus faecium supernatant induces DNA damage associated stress responses and suppresses the growth of cervical cancer cells.

BMC microbiology·2026
Same author

Integration of Single-Cell RNA Sequencing and Machine Learning to Identify and Validate Prognostic Genes With Lymph Node Metastasis and Immune Cell Signatures in Lung Adenocarcinoma.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

MOTDNet: Multi organ task decoupling network for cell segmentation.

Medical image analysis·2026
Same author

Coexistence of Ovarian Mature Cystic Teratomas and Endometriosis: An Update.

International journal of women's health·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jul 24, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K

一个准确的毫米波成像算法,用于近距离单静态系统.

Xinyi Nie1,2, Chuan Lin1, Yang Meng3

  • 1School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括
此摘要是机器生成的。

一个新的毫米波成像算法通过使用严格的物理模型和静止相 (MSP) 方法来提高人员查的准确性. 这种先进的算法提高了安全应用程序的目标聚焦和计算效率.

关键词:
里叶变换技术的技术隐藏武器检测系统 隐藏武器检测系统静止阶段的方法.微波成像技术 微波成像技术国家安全国家安全.

更多相关视频

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.4K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

相关实验视频

Last Updated: Jul 24, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K
Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.4K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

科学领域:

  • 电磁理论 电磁理论
  • 波浪的传播方式
  • 信号处理 信号处理

背景情况:

  • 毫米波 (MMW) 成像对于人员查至关重要.
  • 对于单静态系统,现有的算法在准确性和效率方面存在局限性.
  • 精确的模拟波传播,包括双路径损失是必不可少的.

研究的目的:

  • 开发一个高效和准确的MMW成像算法,用于近距离的单静态人员查.
  • 通过使用更严格的物理模型来解决经典算法的局限性.
  • 提高对不同范围的多个目标的聚焦能力.

主要方法:

  • 为单静态MMW系统开发严格的物理模型.
  • 用精确的振幅术语将事件和分散波模拟为球形波.
  • 使用静止阶段 (MSP) 方法来处理复杂的数学模型的算法的推导.
  • 通过数值模拟,实验室实验和FEKO生成的全波数据进行验证.

主要成果:

  • 与经典方法相比,拟议的算法证明了优越的聚焦.
  • 观察到计算效率和准确性的显著改善.
  • 与实验室原型的现实数据的验证证实了算法的有效性.
  • 该算法成功地处理单静态系统中的双路径传播损失.

结论:

  • 开发的MMW成像算法为人员查提供了更高的性能.
  • 基于MSP的方法提供了一个比传统方法更准确和更有效的解决方案.
  • 算法的有效性通过全面的模拟和实验数据得到证实.