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

Time-Series Graph00:54

Time-Series Graph

5.2K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.2K
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

718
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
718
Generation Time01:22

Generation Time

1.6K
Bacterial generation time, the period required for a bacterial population to double during its exponential growth phase, serves as a critical measure of microbial growth dynamics under optimal conditions. This parameter varies significantly across bacterial species and can be influenced by factors such as temperature, pH, and the availability of nutrients. For example, Escherichia coli can achieve a generation time of approximately 20 minutes, while Mycobacterium tuberculosis exhibits a much...
1.6K
Resistors In Series01:10

Resistors In Series

6.7K
A resistor is an ohmic device that limits the flow of charge in a circuit. Most circuits have more than one resistor. If several resistors are connected together and connected to a battery, the current supplied by the battery depends on the equivalent resistance of the circuit. The equivalent resistance of a combination of resistors depends on both their individual values and how they are connected. The simplest combination of resistors is the series combination. 
In a series circuit, the...
6.7K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

279
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
279
Series Resonance01:17

Series Resonance

875
The RLC circuit impedance is defined as the ratio of the supply voltage to the circuit current. Resonance in such a circuit occurs when the imaginary part of this impedance equals zero. This specific condition means that the inductive reactance is exactly equal to the capacitive reactance. The frequency at which this happens is known as the resonant frequency. Mathematically, the resonant frequency is inversely proportional to the square root of the product of the inductance (L) and capacitance...
875

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

Tomato Silicon Influx Transporter SlLsi1 Participates in Selenite Uptake and Selenomethionine Transport and Improves Fruit Quality.

Journal of agricultural and food chemistry·2026
Same author

Rotational strip peanut/cereal intercropping systems improve soil quality and crop yields in aeolian sandy soil.

BMC plant biology·2026
Same author

Involvement of sucrose transporter SUT4 in regulating tomato yield and fruit quality.

Plant science : an international journal of experimental plant biology·2026
Same author

Reconstitution of Archaeal Membrane Lipid Biosynthesis in Bacterial and Eukaryotic Hosts.

Chembiochem : a European journal of chemical biology·2026
Same author

Challenges and Advances in Bioinformatics and Computational Biology.

Current issues in molecular biology·2026
Same author

Cathepsin H as a causal risk factor and therapeutic target in proliferative diabetic retinopathy.

Journal of translational medicine·2026

相关实验视频

Updated: Feb 11, 2026

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

2.0K

基于蓝色噪声的生成模型用于计算时间序列数据.

Graham Bishop1, Tong Si2, Haijun Gong3

  • 1Department of Mathematics and Statistics, Saint Louis University, St. Louis, MO, USA.

International Conference on Information Science and Technology. International Conference on Information Science and Technology
|February 10, 2026
PubMed
概括

本研究引入了一种新的时间变化的蓝色噪声扩散模型,用于准确的时间序列数据归算. 新方法通过保持频率依赖的相关性来改善重建,优于传统的白噪声方法.

关键词:
蓝色噪声是一种蓝色噪声.扩散模型的扩散模型缺失值推算方法 缺失值推算方法时间序列数据 时间序列数据

更多相关视频

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.5K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

1.1K

相关实验视频

Last Updated: Feb 11, 2026

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

2.0K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.5K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

1.1K

科学领域:

  • 机器学习 机器学习
  • 信号处理 信号处理
  • 数据科学数据科学数据科学

背景情况:

  • 由于复杂的动态,重建丢失的高维时间序列数据具有挑战性.
  • 传统方法与非线性关系和时间复杂性作斗争.
  • 生成模型,像扩散方法一样,显示出希望,但经常使用白噪声,失去频率细节.

研究的目的:

  • 为高维时间序列数据开发一种改进的归算方法.
  • 解决时间序列归算的生成扩散模型中白噪声的局限性.
  • 在数据重建过程中增强频率依赖相关性的保存.

主要方法:

  • 引入了一个基于时间变化的蓝色噪声的基于条件分数的扩散模型用于归算 (tBN-CSDI).
  • 将时间变化的蓝色噪声时间表纳入扩散过程中.
  • 在真实世界时间序列数据集上评估性能.

主要成果:

  • 与传统的基于白噪声的方法相比,tBN-CSDI模型表现出更高的性能.
  • 蓝色噪声时间表有效地保留了细微的时间模式和依赖频率的相关性.
  • 实验结果证实,归算的准确性和可靠性得到了提高.

结论:

  • 拟议的tBN-CSDI模型在时间序列数据归算方面取得了重大进展.
  • 时间变化的蓝色噪声是基于扩散的归算比白色噪声更有效的策略.
  • 将伪时分析与扩散模型相结合,为动态生物系统提供了一个有前途的未来研究方向.