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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...

You might also read

Related Articles

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

Sort by
Same author

Benchmarking neural network personalized musculoskeletal hand models against current personalization standards using experimental magnetic resonance imaging and fine-wire electromyography.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Transfer Learning With Simulated and Recorded Data Improves Predictions of Lateral Pinch Thumb-Tip Forces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

A hand biomechanics dataset of kinematics, kinetics, electromyography, and imaging in healthy adults.

Scientific data·2026
Same author

Interpreting material anisotropy through the fractional wave equation.

Ultrasonics·2025
Same author

A hand biomechanics dataset of kinematics, kinetics, electromyography, and imaging in healthy adults.

bioRxiv : the preprint server for biology·2025
Same author

Dataset on guided waves from long-term structural health monitoring under uncontrolled and dynamic conditions.

Scientific data·2025

Related Experiment Video

Updated: May 17, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Scale transform signal processing for optimal ultrasonic temperature compensation.

Joel B Harley1, José M F Moura

  • 1Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. jharley@ece.cmu.edu

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|November 13, 2012
PubMed
Summary

This study introduces a faster method for temperature compensation in structural health monitoring using guided waves. The new approach improves computational speed for accurate system error reduction.

More Related Videos

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

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)
07:38

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)

Published on: November 3, 2015

Related Experiment Videos

Last Updated: May 17, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

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

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)
07:38

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)

Published on: November 3, 2015

Area of Science:

  • Engineering
  • Materials Science
  • Signal Processing

Background:

  • Temperature changes can introduce significant errors in structural health monitoring systems.
  • Existing temperature compensation methods for guided wave systems often lack computational efficiency.

Purpose of the Study:

  • To develop a novel, computationally efficient methodology for temperature compensation in guided wave structural health monitoring.
  • To present and evaluate algorithms that improve processing speed for optimal temperature compensation.

Main Methods:

  • A new methodology for optimal, stretch-based temperature compensation was developed.
  • The approach operates on signals within the stretch factor and scale-transform domains.
  • Three distinct algorithms for temperature compensation were demonstrated.

Main Results:

  • The proposed algorithms exhibit improved computational speed compared to existing optimal methods.
  • Performance was validated using experimental guided wave data.
  • The methodology effectively reduces systemic errors caused by temperature variations.

Conclusions:

  • The presented stretch-based methodology offers a computationally efficient solution for temperature compensation in guided wave systems.
  • This advancement can lead to more reliable and faster structural health monitoring.
  • The developed algorithms provide a practical tool for real-world applications.