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

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.1K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

131
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
131
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

894
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
894
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

2.0K
In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
2.0K
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

8.3K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
8.3K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

129
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
129

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

Intermolecular Interaction-Driven Contact Ion Pair-Dominated Solvation Structure Enabling Stable Electrode-Electrolyte Interfaces for Quasi-Solid-State Lithium Metal Batteries.

ACS applied materials & interfaces·2026
Same author

A Novel Variational Bayesian Method Based on Student's <i>t</i> Noise for Underwater Localization.

Sensors (Basel, Switzerland)·2025
Same author

Skin-Inspired Ultra-Linear Flexible Iontronic Pressure Sensors for Wearable Musculoskeletal Monitoring.

Nano-micro letters·2025
Same author

Multifunctional Subnanowires Modulating <i>In Situ</i> Polymerization for High-Voltage Solid-State Batteries.

ACS applied materials & interfaces·2025
Same author

Development and application of a dual LAMP-LFD assay for the simultaneous detection of <i>Streptococcus suis</i> and <i>Glaesserella parasuis</i>.

Frontiers in cellular and infection microbiology·2025
Same author

Seamless Micro-Electro-Mechanical System-Inertial Navigation System/Polarization Compass Navigation Method with Data and Model Dual-Driven Approach.

Micromachines·2024

相关实验视频

Updated: Sep 18, 2025

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.4K

一种新型的变异贝叶斯方法,用于水下INS/DVL/USBL定位的未知噪声.

Haoqian Huang1, Chenhui Dong1, Yutong Zhang1

  • 1College of Artificial Intelligence and Automation, Hohai University, Changzhou 213200, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

这项研究引入了一个基于Wishart的反向波动贝叶斯适应性立方卡尔曼波器 (IW-VACKF) 用于水下状态估计. 这种新方法通过在复杂的海洋环境中更好地描述不确定的系统噪声来提高精度.

科学领域:

  • 机器人和控制系统 机器人和控制系统
  • 信号处理 信号处理
  • 海洋工程 海洋工程

背景情况:

  • 准确的状态估计对于水下系统至关重要,但由于不可预测的系统噪声,这具有挑战性.
  • 传统方法与不确定的噪声模型作斗争,导致状态确定精度降低.
  • 水下环境在获得有关系统噪声的可靠预先信息方面存在独特的困难.

研究的目的:

  • 开发一种新的适应性立方卡尔曼波器,以改善复杂的水下环境中的状态估计.
  • 通过使用反向-维沙特分布来解决不确定的系统噪声的挑战.
  • 提高系统噪声动态和水下应用中的不确定性.

主要方法:

  • 提出了一个基于逆Wishart (IW) 的变量贝叶斯适应立方卡尔曼波器 (IW-VACKF).
  • 利用逆维沙特分布作为系统噪声协变矩阵的相对先验.
  • 引入了一个混合概率向量来建模状态噪声的不确定性和动态.
  • 导出状态过渡和测量过程作为层次的高斯模型.
  • 采用变量贝叶斯方法来计算联合后置信息.

主要成果:

  • 在模拟中,IW-VACKF表现出更好的状态估计精度.
关键词:
卡尔曼过器可以过.这是反向的威沙特分布.其他非高斯噪声水下车辆 水下车辆变量贝叶斯式贝叶斯式

更多相关视频

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
09:22

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

Published on: October 31, 2011

13.1K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

832

相关实验视频

Last Updated: Sep 18, 2025

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.4K
Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
09:22

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

Published on: October 31, 2011

13.1K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

832
  • 现实世界的试验证实了过器在复杂的水下条件下的有效性.
  • 提出的方法有效地处理不确定的系统噪声,优于传统方法.
  • 结论:

    • 在具有挑战性的水下场景中,IW-VACKF为精确状态估计提供了强大的解决方案.
    • 使用逆维沙特分布和混合概率有效地描述系统噪声是提高准确性的关键.
    • 开发的过器为水下导航和控制系统提供了重大进步.