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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.0K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.0K

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

Robust Reverberation Suppression Method Based on Alternating Projections.

Sensors (Basel, Switzerland)·2025
Same author

[Primary study on origination of bone marrow abnormal clones in patients with myelodysplastic syndrome].

Zhongguo shi yan xue ye xue za zhi·2011
Same author

Clinical management of gastric cancer: results of a multicentre survey.

BMC cancer·2011
Same author

[Surveys on resources and varieties on Chinese markets of crude drug mahuang].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2011
Same author

Synthesis of 1,5-benzothiazepine derivatives bearing 2-phenoxy-quinoline moiety via 1,3-diplolar cycloaddition reaction.

Molecular diversity·2011
Same author

Three-dimensional magnetic assembly of microscale hydrogels.

Advanced materials (Deerfield Beach, Fla.)·2011

相关实验视频

Updated: Jul 2, 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

基于确定性压缩传感的多输入多输出声纳的高分辨率成像方法.

Ning Gao1,2, Feng Xu1, Juan Yang1

  • 1Ocean Acoustic Technology Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了压缩传感 (CS) 方法,以改进多输入多输出 (MIMO) 声纳成像. 这种技术可以抑制噪音,使得水下目标可以更清晰地通过下侧叶进行定位.

关键词:
这是一个MIMO声纳.压缩感应传感器 压缩感应高分辨率的高分辨率解决方案匹配的过器匹配的过器信号重建的重建信号的重建

更多相关视频

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.2K
Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.7K

相关实验视频

Last Updated: Jul 2, 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
Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.2K
Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.7K

科学领域:

  • 水下声学 水下声学
  • 信号处理 信号处理
  • 阵列信号处理系统的信号处理.

背景情况:

  • 传统的声纳和MIMO声纳系统在实现高角度和范围分辨率方面面临着挑战.
  • MIMO声纳利用匹配过来提高空间分辨率,但不完美的相关性导致高侧叶,阻碍了准确的目标定位.
  • 水下图像中的高侧叶值阻碍了对目标的精确识别.

研究的目的:

  • 提出一种压缩传感 (CS) 方法,用于重建MIMO声纳系统中的回声信号.
  • 为了抑制MIMO声纳中不完美的相关性特征引起的相关性噪声.
  • 为了提高空间分辨率和提高水下图像中的目标定位精度.

主要方法:

  • 采用压缩传感 (CS) 方法,涉及回声信号重建以减轻直角波形之间的相关噪声.
  • 一个转移的字典矩阵和一个决定性的离散里埃变换 (DFT) 测量矩阵被用于信号处理.
  • 稀缺的恢复算法优化信号重建,然后进行联合发射-接收光束成型以生成二维声纳图像.

主要成果:

  • 拟议的CS方法有效地抑制关联噪声,导致声纳图像中的侧叶值降低.
  • 数字模拟和湖泊实验证明了该方法能够产生下侧叶子声纳图像的能力.
  • 与现有方法相比,该方法在亚尼奎斯特采样率下实现了更好的性能.

结论:

  • 开发的压缩传感 (CS) 方法为增强MIMO声纳系统的空间分辨率和目标定位提供了可行的解决方案.
  • 这种技术有效地解决了由不完美的相关性特征引起的高侧叶的挑战.
  • 该研究通过模拟和实验数据验证了该方法的有效性,突出了其在先进的水下声学成像方面的潜力.