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

Deconvolution01:20

Deconvolution

137
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
137
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

234
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
234
Convolution Properties II01:17

Convolution Properties II

174
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
174
Differential Form of Maxwell's Equations01:17

Differential Form of Maxwell's Equations

426
James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
426
Second Derivatives and Laplace Operator01:22

Second Derivatives and Laplace Operator

1.2K
The first order operators using the del operator include the gradient, divergence and curl. Certain combinations of first order operators on a scalar or vector function yield second order expressions. Second-order expressions play a very important role in mathematics and physics. Some second order expressions include the divergence and curl of a gradient function, the divergence and curl of a curl function, and the gradient of a divergence function.
Consider a scalar function. The curl of its...
1.2K
Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

2.6K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
2.6K

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

One-Pot Amidation/C─H Halogenation by an Efficient Electrochemical Cascade.

Angewandte Chemie (International ed. in English)·2026
Same author

Molecular dynamics of water hexamer anions at cryogenic temperatures.

The Journal of chemical physics·2025
Same author

Understanding DFT Uncertainties for More Reliable Reactivity Predictions by Advancing the Analysis of Error Sources.

Journal of chemical theory and computation·2025
Same author

Illuminating the multiple Lewis acidity of triaryl-boranes <i>via</i> atropisomeric dative adducts.

Chemical science·2024
Same author

2-in-1 Phase Space Sampling for Calculating the Absorption Spectrum of the Hydrated Electron.

Journal of chemical theory and computation·2024
Same author

Prediction of Redox Power for Photocatalysts: Synergistic Combination of DFT and Machine Learning.

Journal of chemical theory and computation·2023

相关实验视频

Updated: Jun 10, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K

在路径积分模拟中应用解卷式.

Ádám Madarász1, Gergely Laczkó1,2

  • 1Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, Budapest H-1117, Hungary.

Journal of chemical theory and computation
|October 15, 2024
PubMed
概括

途径积分分子动力学 (PIMD) 模拟引入了虚假的振动. 这项研究提出了一个卷积形式主义来分析这些效应,使得从PIMD数据中精确地提取物理频率.

科学领域:

  • 计算化学计算化学
  • 统计力学 统计力学
  • 分子动力学分子动力学

背景情况:

  • 途径积分分子动力学 (PIMD) 模拟表示原子使用多个复制品连接通过波弹.
  • 这种表示引入了源自环聚合物的波频率的虚假振动模式,与物理原子振动不同.

研究的目的:

  • 开发一种形式主义来理解和纠正PIMD中虚假振动的影响.
  • 为了证明这种形式主义在分析恒温器功率光谱和从模拟中提取物理频率时的应用.

主要方法:

  • 这项研究将PIMD对振动的影响视为平方频域中的卷积.
  • 这种卷积在数学上表示为矩阵乘法.
  • 解卷技术用于从模拟数据中恢复物理频率.

主要成果:

  • 建立了一种正式的方法,以准确确定和近似中的内部模式的频率.
  • 介绍了一种用于计算PIMD中恒温器功率谱的替代方法.
  • 物理频率成功地从无声模型系统中恢复使用解卷,即使是假共振.

结论:

  • 开发的卷积形式主义为分析PIMD中的振动工件提供了一个强大的框架.

更多相关视频

Deriving the Time Course of Glutamate Clearance with a Deconvolution Analysis of Astrocytic Transporter Currents
09:42

Deriving the Time Course of Glutamate Clearance with a Deconvolution Analysis of Astrocytic Transporter Currents

Published on: August 7, 2013

10.3K
Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy
08:47

Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy

Published on: December 7, 2017

9.6K

相关实验视频

Last Updated: Jun 10, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K
Deriving the Time Course of Glutamate Clearance with a Deconvolution Analysis of Astrocytic Transporter Currents
09:42

Deriving the Time Course of Glutamate Clearance with a Deconvolution Analysis of Astrocytic Transporter Currents

Published on: August 7, 2013

10.3K
Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy
08:47

Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy

Published on: December 7, 2017

9.6K
  • 这种方法提供了一种途径,可以从PIMD模拟中准确确定物理频率和恒温器特性.
  • 解卷方法有效地将真实振动信号与模拟诱导的噪声隔离开来.