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

Aliasing01:18

Aliasing

122
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...
122

You might also read

Related Articles

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

Sort by
Same author

Remediation of chlorinated aliphatic hydrocarbons in groundwater using ZVI and low-voltage DC field: Long-term performance and insights from pilot-scale experimental study.

Journal of hazardous materials·2025
Same author

A Versatile Board for Event-Driven Data Acquisition.

Sensors (Basel, Switzerland)·2024
Same author

Design and Development of a Diagnostic System for a Non-Intercepting Direct Measure of the SPIDER Ion Source Beamlet Current.

Sensors (Basel, Switzerland)·2023
Same author

An IoT Measurement System Based on LoRaWAN for Additive Manufacturing.

Sensors (Basel, Switzerland)·2022
Same author

Accurate Magnetic Sensor System Integrated Design.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jun 11, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.5K

A Mixed Approach for Clock Synchronization in Distributed Data Acquisition Systems.

Gabriele Manduchi1, Andrea Rigoni1, Luca Trevisan1

  • 1Consorzio RFX, Corso Stati Uniti, 4, 35127 Padova, Italy.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
Summary

This study presents a novel FPGA-based clock synchronization method for System on Chip (SoC) architectures. It ensures precise timing for distributed data acquisition systems, crucial for experiments like ITER.

Keywords:
FPGARedPitayaSoCtiming systems

More Related Videos

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.3K
Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.0K

Related Experiment Videos

Last Updated: Jun 11, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.5K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.3K
Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.0K

Area of Science:

  • * Embedded Systems Engineering
  • * Networked Control Systems
  • * Scientific Instrumentation

Background:

  • * Accurate timing synchronization is critical for multi-device data acquisition.
  • * Existing System on Chip (SoC) architectures require robust clock synchronization solutions.
  • * Field Programmable Gate Arrays (FPGAs) offer a flexible platform for hardware-based timing solutions.

Purpose of the Study:

  • * To propose a simple and effective clock synchronization method for SoC architectures.
  • * To integrate a Field Programmable Gate Array (FPGA) with a Central Processing Unit (CPU) for precise timing.
  • * To ensure accurate data acquisition in distributed systems for scientific experiments.

Main Methods:

  • * Implemented a software-based network synchronization protocol (NTP/PTP).
  • * Utilized an FPGA to generate a clock reference synchronized with the system clock.
  • * Employed fractional clock division and a Proportional Integral (PI) controller to maintain clock accuracy and prevent drift.
  • * Demonstrated a specific implementation on the RedPitaya platform generating a 1 MHz clock.

Main Results:

  • * Achieved precise clock synchronization between the FPGA-generated clock and the NTP-synchronized system clock.
  • * Successfully prevented clock drift through real-time software monitoring and adjustment of the FPGA clock frequency.
  • * Validated the system's performance in a distributed data acquisition setup for fast transient recording.

Conclusions:

  • * The proposed FPGA-based clock synchronization method is effective for SoC architectures.
  • * This approach enhances the reliability of distributed data acquisition systems for high-precision scientific applications.
  • * The system is suitable for demanding environments such as the ITER neutral beam test facility.