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

Convolution Properties II01:17

Convolution Properties II

582
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
582
Nuclear Fusion02:45

Nuclear Fusion

33.8K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.8K
Convolution Properties I01:20

Convolution Properties I

581
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
581
Control Volume and System Representations01:16

Control Volume and System Representations

1.5K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.5K
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

345
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
345
State Space Representation01:27

State Space Representation

555
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
555

You might also read

Related Articles

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

Sort by
Same author

A comprehensive collection of systems biology data characterizing the host response to viral infection.

Scientific data·2015
Same author

7.6  W 1342  nm passively mode-locked picosecond composite Nd:YVO4/YVO4 laser with a semiconductor saturable absorber mirror.

Applied optics·2015
Same author

Millijoule-level picosecond mid-infrared optical parametric amplifier based on MgO-doped periodically poled lithium niobate.

Applied optics·2015
Same author

Structural basis of non-steroidal anti-inflammatory drug diclofenac binding to human serum albumin.

Chemical biology & drug design·2015
Same author

Involvement of cAMP-PKA pathway in adenosine A1 and A2A receptor-mediated regulation of acetaldehyde-induced activation of HSCs.

Biochimie·2015
Same author

Synergistic degradation of chitosan by impinging stream and jet cavitation.

Ultrasonics sonochemistry·2015

Related Experiment Video

Updated: Jan 28, 2026

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

813

Multi-Frequency GPR Image Fusion Based on Convolutional Sparse Representation to Enhance Road Detection.

Liang Fang1, Feng Yang1, Yuanjing Fang1

  • 1School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing 100083, China.

Journal of Imaging
|January 27, 2026
PubMed
Summary

This study introduces a multi-frequency ground penetrating radar (GPR) data fusion technique using convolutional sparse representation (CSR). The method enhances GPR image clarity by combining low-frequency penetration with high-frequency resolution.

Keywords:
convolutional sparse representationdata fusionmulti-frequency GPRroad non-destructive testing

More Related Videos

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
13:47

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

26.4K
A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction
10:35

A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

Published on: April 5, 2018

10.8K

Related Experiment Videos

Last Updated: Jan 28, 2026

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

813
Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
13:47

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

26.4K
A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction
10:35

A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

Published on: April 5, 2018

10.8K

Area of Science:

  • Geophysics
  • Signal Processing
  • Radar Technology

Background:

  • Single-frequency ground penetrating radar (GPR) faces limitations in penetration depth and resolution.
  • Challenges include narrow bandwidth and ringing interference, hindering detailed subsurface imaging.

Purpose of the Study:

  • To develop an advanced multi-frequency GPR data fusion technique.
  • To overcome the inherent trade-offs in single-frequency GPR systems.
  • To improve GPR image clarity and interpretability.

Main Methods:

  • Implemented a convolutional sparse representation (CSR) framework for multi-frequency GPR signal fusion.
  • Spatially registered multi-frequency GPR signals before fusion.
  • Derived convolutional dictionaries from simulated high-definition GPR data.

Main Results:

  • The CSR-based fusion method significantly outperformed traditional approaches like weighted average, PCA, and 2D wavelets.
  • Evaluations using information entropy, average gradient, mutual information, and visual information fidelity confirmed superiority.
  • Successfully combined deep penetration from low frequencies with high resolution from high frequencies.

Conclusions:

  • The developed CSR technique effectively synergizes multi-frequency GPR data.
  • This approach substantially enhances GPR image clarity and interpretability for subsurface analysis.
  • Offers a promising solution for overcoming limitations in conventional GPR systems.