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

You might also read

Related Articles

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

Sort by
Same author

Object-Aware Computational Integral Imaging for Improved Object Depth Estimation and Stereo Matching Training.

Sensors (Basel, Switzerland)·2026
Same author

Concealed Face Analysis and Facial Reconstruction via a Multi-Task Approach and Cross-Modal Distillation in Terahertz Imaging.

Sensors (Basel, Switzerland)·2026
Same author

Emotion Classification Based on Pulsatile Images Extracted from Short Facial Videos via Deep Learning.

Sensors (Basel, Switzerland)·2024
Same author

Atmospheric Turbulence Degraded Video Restoration with Recurrent GAN (ATVR-GAN).

Sensors (Basel, Switzerland)·2023
Same author

3D Object Detection via 2D Segmentation-Based Computational Integral Imaging Applied to a Real Video.

Sensors (Basel, Switzerland)·2023
Same author

Editorial-Special Issue on "Optical and RF Atmospheric Propagation".

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Aug 10, 2025

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.7K

Fast and Enhanced MMW Imaging System Using a Simple Row Detector Circuit with GDDs as Sensor Elements and an

Arun Ramachandra Kurup1, Daniel Rozban1, Amir Abramovich1

  • 1Department of Electrical and Electronic Engineering, Ariel University, Ariel 40700, Israel.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary

A new millimeter-wave (MMW) detector uses glow discharge detectors (GDDs) and Fast Fourier Transform (FFT) signal acquisition for improved MMW imaging. This cost-effective system offers enhanced noise filtering and stability for future focal plane arrays.

Keywords:
MMW imagingTHz sensorsfocal plane arrayglow discharge detectorsquasi-optical design

More Related Videos

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
09:46

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Published on: April 28, 2022

4.0K
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

9.7K

Related Experiment Videos

Last Updated: Aug 10, 2025

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.7K
Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
09:46

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Published on: April 28, 2022

4.0K
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

9.7K

Area of Science:

  • Physics
  • Electrical Engineering
  • Sensor Technology

Background:

  • Millimeter-wave (MMW) detection is crucial due to MMWs' atmospheric propagation.
  • Glow Discharge Detectors (GDDs) show increased discharge current under MMW radiation, enabling electrical detection.
  • Existing MMW detection systems often rely on lock-in detection, which can be complex and expensive.

Purpose of the Study:

  • To introduce a novel row detector design utilizing GDDs as pixel elements for MMW detection.
  • To investigate the influence of MMW incidence on the discharge current of GDDs.
  • To develop a cost-effective and reliable MMW detection system with enhanced imaging capabilities.

Main Methods:

  • An elementary data acquisition (DAQ) platform was employed to capture MMW detection data.
  • Fast Fourier Transform (FFT) analysis was used for signal processing, replacing traditional lock-in detection.
  • A scanning mechanism with a motorized translation stage was implemented for MMW imaging.

Main Results:

  • The FFT-based signal acquisition demonstrated superior noise filtering compared to lock-in detection.
  • The new MMW detection circuit exhibited enhanced stability and reliability due to over-voltage protection.
  • The system achieved improved MMW imaging with reduced overhead costs.

Conclusions:

  • The developed MMW detection circuit represents a significant advancement for creating large, inexpensive focal plane arrays (FPAs).
  • FFT-based signal acquisition offers a more efficient and cost-effective alternative for MMW detection.
  • The simplified GDD row detector design enhances system stability and reliability for practical applications.