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

979
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:
979
Passive Filters01:27

Passive Filters

671
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...
671
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

166
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
166
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

141
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
141
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

155
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
155
Second-order Op Amp Circuits01:19

Second-order Op Amp Circuits

456
Implementing second-order low-pass filters in audio systems is crucial in refining audio signals by eliminating undesirable high-frequency noise. These filters typically involve second-order op-amp circuits configured as voltage followers, encompassing two nodes with distinct storage elements.
The analysis of such circuits follows a systematic approach, similar to the second-order RLC circuits. In practical scenarios, bulky inductors are rarely employed due to their size and weight. This means...
456

You might also read

Related Articles

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

Sort by
Same author

A modelling exploration of potential spatiotemporal risk of high pathogenicity avian influenza virus introduction to Danish dairy herds through the contaminated environment.

Research in veterinary science·2026
Same author

COL11A2 Methylation as a Biomarker for Radiosensitivity and Microenvironment Remodelling in Oral Squamous Cell Carcinoma.

International dental journal·2026
Same author

Elucidating the electron-driven mechanism of H<sub>2</sub>O dissociation on Pt nanoclusters via modulating the doped graphene substrate and applied electrode potential.

Journal of colloid and interface science·2025
Same author

Warmth Centrality in Social Cognitive Networks of Fairness Reputation Across Players in the Ultimatum and Dictator Games.

Behavioral sciences (Basel, Switzerland)·2025
Same author

Synergistic Ruthenium-Doped Amorphous IrO<sub><i>x</i></sub> Matrix for Robust Oxygen Evolution.

ACS applied materials & interfaces·2025
Same author

Modelling spillover risk of highly pathogenic avian influenza from wild birds to poultry in Denmark.

Preventive veterinary medicine·2025

Related Experiment Video

Updated: Oct 15, 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

6.3K

Constrained optimal filter design for multi-channel active noise control via convex optimization.

Yongjie Zhuang1, Yangfan Liu1

  • 1Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.

The Journal of the Acoustical Society of America
|October 31, 2021
PubMed
Summary

This study presents a novel convex optimization method for active noise control (ANC) filters. The new approach improves noise reduction performance and significantly reduces computation time compared to existing methods.

More Related Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.7K

Related Experiment Videos

Last Updated: Oct 15, 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

6.3K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.7K

Area of Science:

  • Control Engineering
  • Signal Processing
  • Applied Mathematics

Background:

  • Multi-channel active noise control (ANC) requires satisfying constraints like stability and performance.
  • Existing regularization methods for Wiener filters can degrade ANC performance.
  • Traditional H2/H∞ control for ANC filter design is computationally intensive and non-convex.

Purpose of the Study:

  • To develop a convex optimization framework for ANC filter design.
  • To improve the reliability and reduce the computational cost of ANC filter design.
  • To enable potential applications of advanced ANC in adaptive control systems.

Main Methods:

  • Convexification of the H2/H∞ formulation for ANC filter design.
  • Reformulation into a cone programming problem solvable by specialized algorithms.
  • Comparison with regularization and traditional H2/H∞ methods.

Main Results:

  • The proposed method achieves better noise control performance than regularization techniques.
  • The convexified H2/H∞ approach guarantees a global minimum.
  • Computational time is reduced by several orders of magnitude compared to traditional H2/H∞ methods.

Conclusions:

  • The proposed convex optimization method offers a more reliable and efficient solution for ANC filter design.
  • The significant reduction in computation time opens possibilities for adaptive ANC applications.
  • This work advances the practical implementation of constrained ANC systems.