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

Active Filters01:25

Active Filters

796
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:
796
Passive Filters01:27

Passive Filters

525
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...
525
Bandpass Sampling01:17

Bandpass Sampling

166
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....
166
Magnetostatic Boundary Conditions01:28

Magnetostatic Boundary Conditions

887
An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
887
Magnetic Field Due To A Thin Straight Wire01:28

Magnetic Field Due To A Thin Straight Wire

4.8K
Consider an infinitely long straight wire carrying a current I. The magnetic field at point P at a distance a from the origin can be calculated using the Biot-Savart law.
4.8K
Magnetic Field Due to Two Straight Wires01:18

Magnetic Field Due to Two Straight Wires

2.4K
Consider two parallel straight wires carrying a current of 10 A and 20 A in the same direction and separated by a distance of 20 cm. Calculate the magnetic field at a point "P2", midway between the wires. Also, evaluate the magnetic field when the direction of the current is reversed in the second wire.
2.4K

You might also read

Related Articles

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

Sort by
Same author

Cryogenic performance evaluation of commercial SP4T microelectromechanical switch for quantum computing applications.

Microsystems & nanoengineering·2026
Same author

Spin-wave band-pass filters for 6G communication.

Nature·2026
Same author

Broadband acousto-optic modulators on Silicon Nitride.

Nature communications·2025
Same author

Extension p-Doping of Carbon Nanotube Transistors through Nitric Oxides Annealing.

ACS nano·2025
Same author

Bidirectional microwave-optical transduction based on integration of high-overtone bulk acoustic resonators and photonic circuits.

Nature communications·2024
Same author

Photonic-electronic integrated circuit-based coherent LiDAR engine.

Nature communications·2024

Related Experiment Video

Updated: Jun 14, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
15:25

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

6.1K

An edge-coupled magnetostatic bandpass filter.

Connor Devitt1, Renyuan Wang2, Sudhanshu Tiwari3

  • 1OxideMEMS Lab, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA. devitt@purdue.edu.

Nature Communications
|September 5, 2024
PubMed
Summary

Researchers developed a tunable bandpass filter for 5G and 6G systems. This compact device, using magnetostatic forward volume waves, offers wide frequency tuning with high performance.

More Related Videos

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.6K
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K

Related Experiment Videos

Last Updated: Jun 14, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
15:25

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

6.1K
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.6K
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K

Area of Science:

  • Electrical Engineering
  • Materials Science
  • Telecommunications

Background:

  • Advancements in 5G and 6G communication systems require frequency allocations beyond 6 GHz.
  • Existing compact bandpass filters struggle to operate efficiently across these wide gigahertz frequency ranges.
  • Development of novel filters is crucial for next-generation wireless technologies.

Purpose of the Study:

  • To design, fabricate, and characterize a compact, tunable bandpass filter for future communication systems.
  • To explore the performance of magnetostatic forward volume wave (MSFVW) filters in the gigahertz range.
  • To demonstrate octave tuning capabilities for narrowband channel selection.

Main Methods:

  • Fabrication of 2-pole and 4-pole filters using micromachining techniques on yttrium iron garnet (YIG) films.
  • Utilized gadolinium gallium garnet (GGG) substrates with inductive transducers.
  • Characterization involved applying an out-of-plane magnetic field for frequency tuning and measuring performance metrics like insertion loss, fractional bandwidth, rejection level, and nonlinearity (IIP3).

Main Results:

  • Demonstrated a 4th-order filter with linear center frequency tuning from 4.5 GHz to 10.1 GHz.
  • Achieved a consistent fractional bandwidth of 0.3%, insertion loss of 6.94 dB, and -35 dB rejection level across the tuning range.
  • Measured in-band and out-of-band IIP3 values of -4.85 dBm and 25.84 dBm, respectively, indicating good linearity.

Conclusions:

  • Successfully demonstrated a compact, octave-tunable, narrowband channel-select filter with significant design flexibility.
  • The MSFVW filter performance is comparable to state-of-the-art solutions.
  • This technology is well-suited for the demands of advanced 5G and 6G communication systems.