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

Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

You might also read

Related Articles

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

Sort by
Same author

Transport model for the propagation of partially coherent, partially polarized, polarization-gradient vector beams.

Journal of the Optical Society of America. A, Optics, image science, and vision·2023
Same author

Vector beam bending via a polarization gradient.

Optics express·2022
Same author

Transport-based model for turbulence-corrupted imagery.

Applied optics·2018
Same author

Distribution of splice loss in single mode optical fiber.

Applied optics·2018
Same author

Moving off the grid in an experimental, compressively sampled photonic link.

Optics express·2015
Same author

Characterization of a compressively sampled photonic link.

Applied optics·2012

Related Experiment Video

Updated: Jun 20, 2026

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
09:03

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Synchronous sampling demodulation scheme for nonlinear fiber-optic sensors.

K P Koo, F Bucholtz, A Dandridge

    Optics Letters
    |September 10, 2009
    PubMed
    Summary

    A novel demodulation scheme enhances nonlinear fiber-optic sensors using synchronous sampling. This technique achieved a minimum detectable magnetic field sensitivity of less than 4 x 10(-5) Oe in a fiber-optic magnetometer.

    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

    Related Experiment Videos

    Last Updated: Jun 20, 2026

    A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
    09:03

    A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

    Published on: January 7, 2019

    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

    Area of Science:

    • Optics and Photonics
    • Sensor Technology
    • Magnetometry

    Background:

    • Nonlinear fiber-optic sensors offer unique advantages but face challenges in signal demodulation.
    • Accurate detection of weak magnetic fields is crucial for various scientific and industrial applications.

    Purpose of the Study:

    • To propose and demonstrate a new demodulation scheme for nonlinear fiber-optic sensors.
    • To improve the sensitivity and performance of fiber-optic magnetometers.

    Main Methods:

    • Development of a novel demodulation scheme employing synchronous sampling.
    • Implementation and testing of the scheme in a fiber-optic magnetometer.

    Main Results:

    • Successful demonstration of the proposed demodulation scheme.
    • Achieved a minimum detectable magnetic field sensitivity below 4 x 10(-5) Oe.

    Conclusions:

    • The synchronous sampling-based demodulation scheme is effective for nonlinear fiber-optic sensors.
    • This advancement significantly enhances the capabilities of fiber-optic magnetometers for sensitive magnetic field detection.