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

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

116
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
116
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

107
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,...
107

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

Projected Increases in Heat-Related Emergency Department Imaging Utilization Under Climate Change Scenarios.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes·2026
Same author

Push the flow-mind the micro: renal microcirculation during high-flow cardiopulmonary bypass.

Journal of thoracic disease·2026
Same author

Successful Atrioventricular Valve Repair Modifies Clinical Outcomes in Single-Ventricle Patients: Multistate Model Analysis.

The Annals of thoracic surgery·2026
Same author

Ultrafast power Doppler imaging for RV myocardial perfusion assessment: histopathologic correlation and <i>in vivo</i> comparison-a pilot study.

European heart journal. Imaging methods and practice·2026
Same author

Measuring myocardial stiffness: when natural waves play tricks on us.

European heart journal. Cardiovascular Imaging·2026
Same author

The Clinician in the Reading Room: Rediscovering Our Clinical Voice.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes·2026

相关实验视频

Updated: Jul 25, 2025

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
10:03

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

Published on: June 27, 2014

18.0K

使用空间相似度矩阵和总表算法,快速值SVD杂乱波器.

Jerome Baranger, Julien Aguet, Olivier Villemain

    IEEE transactions on ultrasonics, ferroelectrics, and frequency control
    |June 26, 2023
    PubMed
    概括

    我们开发了一种优化的算法,用于在超快超声波中进行单值分解 (SVD) 杂乱过. 这种方法显著减少了处理时间从小时到秒,从而实现实时应用.

    科学领域:

    • 医疗成像医学成像
    • 超声波技术 超声波技术 超声波技术
    • 信号处理 信号处理

    背景情况:

    • 单值分解 (SVD) 是超快超声波杂乱过的标准.
    • 准确的SVD值需要区分组织,血液和噪声信号.
    • 目前用于SVD值的方法是计算密集且缓慢的.

    研究的目的:

    • 在超快超声波中优化SVD值以过杂乱.
    • 开发一个计算效率高的算法来对SVD子空间进行细分.
    • 为了实现实时适应性杂乱过.

    主要方法:

    • 提出了一个优化的算法,使用SVD值的总和表方法.
    • 计算复杂度从O(n^4) 降低到O(n^2).
    • 在体内对新生儿大脑和动脉成像进行验证该方法.

    主要成果:

    • 在2000数据集中,实现的处理时间低于0.08秒.
    • 与以前的方法相比,证明了计算速度的提高超过了10^6的因素.
    • 成功地在空间相似性矩阵 (SSM) 上应用了自适应式方格拟合.

    结论:

    更多相关视频

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
    08:27

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

    Published on: January 5, 2024

    1.2K
    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
    14:58

    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

    Published on: June 2, 2010

    9.6K

    相关实验视频

    Last Updated: Jul 25, 2025

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
    10:03

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

    Published on: June 27, 2014

    18.0K
    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
    08:27

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

    Published on: January 5, 2024

    1.2K
    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
    14:58

    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

    Published on: June 2, 2010

    9.6K
    • 优化的SVD值算法提供了显著的速度改进.
    • 这一进步对于超声波中的实时和区块智能自适应性杂乱过至关重要.
    • 该方法提高了SVD在临床超声波成像中的适用性.