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

Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

640
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]...
640
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

1.0K
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
1.0K
Discrete Fourier Transform01:15

Discrete Fourier Transform

831
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
831
Downsampling01:20

Downsampling

578
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
578
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

332
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....
332
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

337
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
337

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

Organic base-promoted formal [4+1] cycloaddition of vinylethylene carbonates with elemental sulfur for facile access to thiophenones.

Chemical communications (Cambridge, England)·2026
Same author

Site-specific neoepitope induction by RNA editing reprograms tumor immunogenicity.

Frontiers in immunology·2026
Same author

Characteristic wavelength selection for rice blast based on hyperspectral remote sensing and deep convolutional neural networks.

Pest management science·2026
Same author

Gasless single-port retroperitoneal laparoscopic adrenalectomy: a novel option for adrenal tumors.

Translational andrology and urology·2026
Same author

Clinical outcomes of a new modified tubeless cutaneous ureterostomy following radical cystectomy.

Translational andrology and urology·2026
Same author

Strain-invariant omnidirectional stretchable MXetronics.

Nature communications·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.3K

OFDR分布式解调优化算法使用离散时间分析信号反向分散的雷利频谱.

Shuaipeng Wang1, Haomao Wang2, Zhiguo Zhang2

  • 1Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing 100192, China.

Sensors (Basel, Switzerland)
|November 27, 2025
PubMed
概括
此摘要是机器生成的。

一个新的算法通过使用离散时间分析 (DTA) 信号来增强光频域反射计 (OFDR),用于雷利反射信号 (RBS) 重建. 这种DTA-RBS方法可以提高传感精度和稳定性,而不会增加计算负载.

关键词:
在OFDR中,OFDR是OFDR.雷利·雷利 (Rayleigh) 是一个伟大的球员.背散射频谱的背散射频谱是什么离散时间分析信号.

更多相关视频

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.3K
Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
10:57

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

3.5K

相关实验视频

Last Updated: Jan 10, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.3K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.3K
Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
10:57

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

3.5K

科学领域:

  • 光电学是指光电子产品.
  • 信号处理 信号处理
  • 分布式传感器 分布式传感器

背景情况:

  • 光学频域反射计 (OFDR) 是分布式传感的一个关键技术.
  • 传统的OFDR解调方法面临着噪声和虚振荡的挑战,影响准确性.
  • 雷利反向散射信号 (RBS) 的重建对于OFDR性能至关重要.

研究的目的:

  • 为OFDR引入一种新的分布式解调优化算法.
  • 通过使用一种新的信号处理技术,提高OFDR系统的性能和稳定性.
  • 在RBS重建中增强光谱特征信息和抑制噪声.

主要方法:

  • 将离散时间分析 (DTA) 信号应用于RBS重建,称为DTA-RBS.
  • 在距离域中仅使用正频组件用于DTA-RBS生成.
  • 采用DTA-RBS的频域构造方法,保持计算效率.

主要成果:

  • DTA-RBS实现了0.9527的平均交叉相关性峰值强度,超过了传统方法 (0.9096).
  • 在未应力纤维段上观察到标准偏差有63%的改善.
  • DTA-RBS表现出优越的应变调节性能和稳定性,避免了传统方法中看到的异常数据点.

结论:

  • 在理论上,DTA-RBS方法提供了一种合理且实用的方法来增强OFDR.
  • 这种新的算法显著提高了传感准确性,稳定性和强度.
  • 对于高精度分布式测量应用,DTA-RBS是有效的.