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

Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

393
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
393
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

471
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
471
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

431
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
431
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

354
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
354
Design Example01:23

Design Example

530
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
530
Aliasing01:18

Aliasing

567
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...
567

You might also read

Related Articles

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

Sort by
Same author

CAW: A Remote-Sensing Scene Classification Network Aided by Local Window Attention.

Computational intelligence and neuroscience·2022
Same author

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.

BMC medical imaging·2022
Same author

A COVID-19 CXR image recognition method based on MSA-DDCovidNet.

IET image processing·2022
Same author

SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images.

Computational intelligence and neuroscience·2022
Same author

D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.

Computational intelligence and neuroscience·2021
Same author

Medical Image Classification Based on Information Interaction Perception Mechanism.

Computational intelligence and neuroscience·2021
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.8K

A Radar Waveform Design Method Based on Multicarrier Phase Coding for Suppressing Autocorrelation Sidelobes.

Ji Li1, Liu Ye1, Wei Wang1

  • 1School of Physics and Electronic Science, Changsha University of Science and Technology, Changsha 410114, China.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a two-stage method to reduce sidelobes in multicarrier phase-coded radar waveforms (MCPC) by using chaotic coding and optimization. The novel AC-MCPC-g signal significantly improves radar performance through advanced sidelobe suppression.

Keywords:
MCPC signalchaos codinggenetic algorithmradar waveform designtime sidelobes suppression

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.8K
Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS
12:56

Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS

Published on: October 17, 2010

14.0K

Related Experiment Videos

Last Updated: Jan 16, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.8K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.8K
Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS
12:56

Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS

Published on: October 17, 2010

14.0K

Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Waveform Design

Background:

  • Multicarrier phase-coded radar waveforms (MCPC) integrate phase coding with orthogonal frequency division multiplexing (OFDM) for broadband applications.
  • High autocorrelation sidelobe levels in MCPC waveforms hinder optimal system performance.

Purpose of the Study:

  • To propose a novel two-stage joint optimization waveform design method for enhanced sidelobe suppression in radar systems.
  • To develop advanced MCPC waveforms that overcome the limitations of existing designs.

Main Methods:

  • A two-stage approach was employed: first, constructing an AC-MCPC signal using chaotic time-domain coding and a Hamming frequency-domain window for initial sidelobe reduction.
  • Second, developing the AC-MCPC-g signal by retaining chaotic coding and optimizing window function parameters via a genetic algorithm in the frequency domain for further suppression.

Main Results:

  • The proposed AC-MCPC signal demonstrated significantly reduced sidelobes compared to standard MCPC signals.
  • The AC-MCPC-g signal achieved even greater sidelobe suppression, building upon the AC-MCPC design.

Conclusions:

  • The developed two-stage optimization method effectively suppresses autocorrelation sidelobes in multicarrier phase-coded radar waveforms.
  • The AC-MCPC-g signal offers a promising solution for improving the performance of broadband radar systems by minimizing sidelobe interference.