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

Properties of Fourier Transform II01:24

Properties of Fourier Transform II

169
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
169
Aliasing01:18

Aliasing

117
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...
117
Upsampling01:22

Upsampling

203
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...
203
Bandpass Sampling01:17

Bandpass Sampling

161
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
161
Properties of Fourier series II01:21

Properties of Fourier series II

136
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
136
Basic signals of Fourier Transform01:07

Basic signals of Fourier Transform

470
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
470

You might also read

Related Articles

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

Sort by
Same author

Achievable rate analysis of orbital angular momentum multiplexing and demultiplexing using E-band metasurfaces.

Scientific reports·2026
Same author

Phase 1 study of balinatunfib, an oral inhibitor of TNFR1 signal in mild-to-moderate psoriasis.

Journal of the European Academy of Dermatology and Venereology : JEADV·2026
Same author

Local-to-Nonlocal Second-Harmonic Generation from Electrically Tunable Intersubband Polaritonic Metasurfaces.

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

Flat nonlinear optics with intersubband polaritonic metasurfaces.

Nanophotonics (Berlin, Germany)·2025
Same author

Full complex amplitude control of second-harmonic generation via electrically tunable intersubband polaritonic metasurfaces.

Science advances·2025
Same author

Ultrahigh Conductive MXene Films for Broadband Electromagnetic Interference Shielding.

Advanced materials (Deerfield Beach, Fla.)·2025
Same journal

Recent Progress in on-Demand Transfer-Enabled Integration of Wavelength-Scale Light Sources.

Nanophotonics (Berlin, Germany)·2026
Same journal

Tunable skyrmion bag textures in surface phonon polariton lattices.

Nanophotonics (Berlin, Germany)·2026
Same journal

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations.

Nanophotonics (Berlin, Germany)·2026
Same journal

Tunable Skyrmion, Meron, and Skyrmion Bag Textures in Surface Phonon Polariton Lattices.

Nanophotonics (Berlin, Germany)·2026
Same journal

Deep-Subwavelength Slot-Enhanced Broadband Dynamic Camouflage Metasurface Across the S, C, X, and Ku Bands.

Nanophotonics (Berlin, Germany)·2026
Same journal

Machine Learning-Driven Cooling Window Design Beyond Hyperbolic Metamaterials.

Nanophotonics (Berlin, Germany)·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.2K

Metasurface spatial filters for multiple harmonic signals.

Daeik Kim1, Mai Anh Nguyen1, Gangil Byun1

  • 1Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.

Nanophotonics (Berlin, Germany)
|December 5, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces metasurface spatial filters to separate fundamental and harmonic frequencies from nonlinear frequency mixing. This enables simultaneous use of broadband multi-frequency sources.

Keywords:
beam steeringharmonic frequenciesmetasurfacesspatial filters

More Related Videos

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
08:48

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

Published on: September 25, 2020

5.7K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.7K

Related Experiment Videos

Last Updated: Jun 5, 2025

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.2K
Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
08:48

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

Published on: September 25, 2020

5.7K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.7K

Area of Science:

  • Electromagnetics
  • Metamaterials
  • Nonlinear Optics

Background:

  • Nonlinear frequency mixing offers a route to generating electromagnetic (EM) waves in challenging frequency ranges.
  • Simultaneous utilization of fundamental and harmonic frequencies necessitates effective spatial separation of these components.
  • Existing methods often struggle with isolating multiple frequencies generated through nonlinear processes.

Purpose of the Study:

  • To propose and experimentally validate metasurface-based spatial filters for separating fundamental and harmonic frequencies.
  • To demonstrate a device capable of handling multiple frequency components from nonlinear mixing.
  • To enable the simultaneous use of broadband multi-frequency sources.

Main Methods:

  • Design of a metasurface using eight split ring resonator (SRR)-based phase elements with 45° phase spacing for wavefront shaping.
  • Implementation of a one-dimensional gradient phase array on the metasurface.
  • Experimental demonstration of the metasurface's filtering and beam steering capabilities at specific frequencies.

Main Results:

  • The metasurface functions as a spatial filter, separating the fundamental (5 GHz), third-harmonic (15 GHz), and fifth-harmonic (25 GHz) frequencies.
  • Distinct beam steering angles were achieved for the third- and fifth-harmonic frequencies due to cross-polarized reflection.
  • The metasurface acted as a metallic mirror for the fundamental frequency.

Conclusions:

  • Metasurface-based spatial filters provide an effective solution for separating multiple frequencies generated via nonlinear mixing.
  • This technology facilitates the simultaneous use of fundamental and harmonic signals, enhancing the utility of nonlinear frequency mixing sources.
  • The proposed method offers a novel approach for managing broadband multi-frequency EM sources.