Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
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
See all related articles

Related Experiment Video

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 Distributed Demodulation Optimization Algorithm Using Discrete-Time Analytic Signal Backscattered Rayleigh

Shuaipeng Wang1, Haomao Wang2, Zhiguo Zhang2

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

Sensors (Basel, Switzerland)
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

A new algorithm enhances optical frequency domain reflectometry (OFDR) by using discrete-time analytic (DTA) signals for Rayleigh backscattered signal (RBS) reconstruction. This DTA-RBS method improves sensing accuracy and stability without adding computational load.

Keywords:
OFDRRayleighbackscattering spectrumdiscrete time analytic signal

More Related Videos

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

Related Experiment Videos

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

Area of Science:

  • Optoelectronics
  • Signal Processing
  • Distributed Sensing

Background:

  • Optical Frequency Domain Reflectometry (OFDR) is a key technology for distributed sensing.
  • Traditional OFDR demodulation methods face challenges with noise and spurious oscillations, impacting accuracy.
  • Rayleigh backscattered signal (RBS) reconstruction is crucial for OFDR performance.

Purpose of the Study:

  • To introduce a novel distributed demodulation optimization algorithm for OFDR.
  • To improve the performance and robustness of OFDR systems using a new signal processing technique.
  • To enhance spectral feature information and suppress noise in RBS reconstruction.

Main Methods:

  • Application of discrete-time analytic (DTA) signals to RBS reconstruction, termed DTA-RBS.
  • Utilizing only positive-frequency components in the distance domain for DTA-RBS generation.
  • Employing a frequency-domain construction method for DTA-RBS, maintaining computational efficiency.

Main Results:

  • DTA-RBS achieved an average cross-correlation peak intensity of 0.9527, outperforming the conventional method (0.9096).
  • A 63% improvement in standard deviation was observed on unstrained fiber segments.
  • DTA-RBS demonstrated superior strain demodulation performance and robustness, avoiding anomalous data points seen in conventional methods.

Conclusions:

  • The DTA-RBS method offers a theoretically sound and practical approach to enhance OFDR.
  • This novel algorithm significantly improves sensing accuracy, stability, and robustness.
  • DTA-RBS is effective for high-precision distributed measurement applications.