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

Types of Damping01:20

Types of Damping

6.7K
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
6.7K
Damped Oscillations01:07

Damped Oscillations

6.0K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
6.0K
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

412
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
412
Linear time-invariant Systems01:23

Linear time-invariant Systems

440
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
440
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

373
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]...
373
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

493
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...
493

You might also read

Related Articles

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

Sort by
Same author

A Convolutional-Transformer Residual Network for Channel Estimation in Intelligent Reflective Surface Aided MIMO Systems.

Sensors (Basel, Switzerland)·2025
Same author

Attention-Based Transfer Enhancement Network for Cross-Corpus EEG Emotion Recognition.

Sensors (Basel, Switzerland)·2025
Same author

Automatic Recognition of Dual-Component Radar Signals Based on Deep Learning.

Sensors (Basel, Switzerland)·2025
Same author

Effective Detection of Cloud Masks in Remote Sensing Images.

Sensors (Basel, Switzerland)·2024
Same author

Energy-Efficient Cooperative Spectrum Sensing Using Machine Learning Algorithm.

Sensors (Basel, Switzerland)·2022
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: Sep 18, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.2K

Adaptive Damping Log-Domain Message-Passing Algorithm for FTN-OTFS in V2X Communications.

Hui Xu1, Chaorong Zhang1, Qingying Wu1

  • 1Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.

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

This study introduces a faster-than-Nyquist orthogonal time frequency space (FTN-OTFS) modulation for reliable vehicle-to-everything (V2X) communications. The new scheme enhances spectral efficiency and performance in high-mobility scenarios.

Keywords:
faster-than-Nyquist (FTN) signalingorthogonal time frequency space (OTFS)spectrally efficient frequency division multiplexing (SEFDM)vehicle-to-everything (V2X)

More Related Videos

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.0K
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

6.2K

Related Experiment Videos

Last Updated: Sep 18, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.2K
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.0K
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

6.2K

Area of Science:

  • Wireless Communications
  • Signal Processing
  • Information Theory

Background:

  • Vehicle-to-everything (V2X) communications face challenges from severe Doppler effects and time-varying channels.
  • Existing modulation schemes struggle to maintain reliability and spectral efficiency in high-mobility V2X environments.
  • The need for advanced modulation techniques is critical for next-generation V2X systems.

Purpose of the Study:

  • To propose a novel modulation scheme for highly reliable and spectrum-efficient V2X communications.
  • To enhance symbol-transmission density within existing resource blocks without increasing bandwidth.
  • To address the limitations of current V2X communication methods in dynamic channel conditions.

Main Methods:

  • Integration of faster-than-Nyquist (FTN) signaling with spectrally efficient frequency division multiplexing (SEFDM) within the orthogonal time frequency space (OTFS) framework.
  • Derivation of an analytical input-output model in both delay-Doppler and time-frequency domains.
  • Development of an adaptive damping log-domain message-passing (ADL-MP) detection algorithm for improved numerical stability.

Main Results:

  • The proposed FTN-OTFS scheme demonstrates robust and reliable performance in high-mobility scenarios.
  • The ADL-MP algorithm significantly outperforms conventional methods in bit error rate (BER) under Extended Vehicular A (EVA) and high-speed train (HST) models.
  • Enhanced spectral efficiency is achieved without compromising occupied bandwidth.

Conclusions:

  • The novel FTN-OTFS modulation scheme is effective for V2X communications, particularly in high-mobility conditions.
  • The proposed scheme and ADL-MP algorithm offer a superior solution for reliable and spectrally efficient V2X.
  • This advancement is crucial for the future development of V2X communication systems.