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

Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

114
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
114

You might also read

Related Articles

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

Sort by
Same author

Correction: A framework for spontaneous Brillouin noise: unveiling fundamental limits in Brillouin metrology.

Light, science & applications·2026
Same author

Absolute thermometry based on Brillouin scattering in gases.

Light, science & applications·2026
Same author

A framework for spontaneous Brillouin noise: unveiling fundamental limits in Brillouin metrology.

Light, science & applications·2026
Same author

Frequency-comb enabled spectrum-correlation reflectometry for distributed fiber-optic sensing.

Light, science & applications·2025
Same author

Near-Field Acoustic Imaging Using Fiber-Optic Distributed Acoustic Sensing and Beamforming Techniques.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Lysine potentiates insulin secretion via AASS-dependent catabolism and regulation of GABA content and signaling.

Metabolism: clinical and experimental·2025
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: Jul 29, 2025

Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
10:39

Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

Published on: October 11, 2016

9.7K

Reducing large errors in frequency-scanned phase-sensitive optical time-domain reflectometers using phase cross

Felipe Muñoz, Loreto Romero, Marcelo A Soto

    Optics Letters
    |May 23, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Phase cross correlation improves frequency shift estimation in phase-sensitive optical time-domain reflectometry (φ-OTDR). This amplitude-unbiased method enhances measurement reliability by reducing large errors in distributed Rayleigh sensing.

    More Related Videos

    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

    9.9K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K

    Related Experiment Videos

    Last Updated: Jul 29, 2025

    Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
    10:39

    Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

    Published on: October 11, 2016

    9.7K
    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

    9.9K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K

    Area of Science:

    • Optical Engineering
    • Sensing Technology
    • Signal Processing

    Background:

    • Distributed sensing relies on accurate spectral response analysis.
    • Traditional cross-correlation methods in φ-OTDR are sensitive to spectral sample intensity, leading to estimation errors.
    • Minimizing errors is crucial for reliable distributed measurements in optical fiber sensing.

    Purpose of the Study:

    • To propose and validate a novel phase cross-correlation technique for frequency shift estimation in φ-OTDR.
    • To enhance the accuracy and reliability of distributed measurements by reducing large estimation errors.
    • To demonstrate the applicability of the technique to other spectral shift-based distributed Rayleigh sensors.

    Main Methods:

    • Implementation of phase cross-correlation for analyzing Rayleigh intensity spectral response.
    • Comparison with standard cross-correlation to evaluate performance.
    • Experimental validation using a 5.63-km sensing fiber with 1-m spatial resolution.

    Main Results:

    • The proposed phase cross-correlation method is amplitude-unbiased, weighting all spectral samples equally.
    • Significant reduction in large frequency shift estimation errors was observed.
    • Maintained a low frequency uncertainty of approximately 1.0 MHz.
    • Demonstrated increased reliability in distributed measurements.

    Conclusions:

    • Phase cross-correlation offers a robust and reliable method for frequency shift estimation in φ-OTDR.
    • The technique effectively mitigates errors caused by high-intensity spectral samples.
    • This method is transferable to other distributed Rayleigh sensors evaluating spectral shifts.