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

Passive Filters01:27

Passive Filters

966
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
966
Discrete Fourier Transform01:15

Discrete Fourier Transform

869
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...
869
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

1.1K
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...
1.1K
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

663
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
663
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

665
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]...
665

You might also read

Related Articles

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

Sort by
Same author

Dispersion-tuned mode-locked optoelectronic oscillator.

Optics letters·2026
Same author

On the link between Fourier transformation and passive amplification in temporal Talbot array illuminators.

Optics letters·2026
Same author

Quantum state revival via coherent energy redistribution.

Science advances·2026
Same author

Linear-optics time-frequency analysis of complex multi-THz-bandwidth waveforms from a single optical spectrum.

Optics letters·2025
Same author

Continuous-wave and mode-locked Bi-doped fiber laser at 1.7 μm.

Scientific reports·2025
Same author

Ultra-low loss optical delay lines based on silicon nitride SWG technology.

Optics express·2025

Related Experiment Video

Updated: Jan 23, 2026

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
12:18

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators

Published on: August 5, 2013

17.5K

Discretely programmable microwave photonic filter based on temporal Talbot effects.

Reza Maram, Daniel Onori, José Azaña

    Optics Express
    |June 6, 2019
    PubMed
    Summary

    We developed a reconfigurable microwave photonic filter using temporal Talbot effects. This filter allows electrical reconfiguration of passbands, enabling flexible microwave signal processing without manual optical adjustments.

    More Related Videos

    Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
    10:35

    Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

    Published on: September 26, 2014

    12.7K
    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
    07:56

    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

    Published on: September 5, 2019

    8.9K

    Related Experiment Videos

    Last Updated: Jan 23, 2026

    Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
    12:18

    Microwave Photonics Systems Based on Whispering-gallery-mode Resonators

    Published on: August 5, 2013

    17.5K
    Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
    10:35

    Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

    Published on: September 26, 2014

    12.7K
    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
    07:56

    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

    Published on: September 5, 2019

    8.9K

    Area of Science:

    • Photonics
    • Microwave Engineering
    • Signal Processing

    Background:

    • Microwave photonic filters are crucial for modern communication systems.
    • Existing filters often lack reconfigurability and require manual adjustments.
    • Temporal Talbot effects offer unique properties for optical signal processing.

    Purpose of the Study:

    • To propose and demonstrate a reconfigurable microwave photonic filter.
    • To leverage temporal Talbot effects for filter design.
    • To enable electrical control over filter characteristics.

    Main Methods:

    • Uniform sampling of microwave signals with optical pulses.
    • Utilizing an electro-optic phase modulator and dispersion line for Talbot processing.
    • Reconstructing the microwave signal and measuring RF response with a network analyzer.

    Main Results:

    • Demonstrated a Talbot-based microwave photonic filter (TMPF) with reconfigurable passbands.
    • Achieved electrical tuning of filter passbands by adjusting phase modulation.
    • Showcased customization of passband bandwidth and selection of specific passbands.

    Conclusions:

    • The proposed TMPF offers electrical reconfigurability, eliminating manual optical alignment.
    • Talbot effects provide a robust method for mitigating pulse fluctuations and shaping RF response.
    • This technology has potential for advanced, flexible microwave signal processing applications.