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

Liquid-liquid phase separation-driven coacervate-derived hydrogels and their biological applications.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

β-cyclodextrin and ZnCo-layered double hydroxides composite modified electrode for ultrasensitive detection of carbendazim in water.

Journal of hazardous materials·2025
Same author

Prognostic value of lipid variability for recurrence and mortality in elderly patients with acute ischemic cerebrovascular disease.

American journal of translational research·2025
Same author

Role of Oxygen and Halogen Functionalization in Tuning the Surface Properties of Zr<sub>3</sub>C<sub>2</sub>T<sub>2</sub> MXene for Lithium Storage: A Density Functional Theory Study.

Materials (Basel, Switzerland)·2025
Same author

Pulsed Eddy Current Imaging of Partially Missing Solder in Brazing Joints of Stainless Steel Core Plates.

Materials (Basel, Switzerland)·2024
Same author

Tuning the Piezoelectric Performance of K<sub>0.5</sub>Na<sub>0.5</sub>NbO<sub>3</sub> through Li Doping: Insights from Structural, Elastic and Electronic Analyses.

Materials (Basel, Switzerland)·2024

Related Experiment Video

Updated: Feb 28, 2026

Fabrication of Surface Acoustic Wave Devices on Lithium Niobate
07:55

Fabrication of Surface Acoustic Wave Devices on Lithium Niobate

Published on: June 18, 2020

13.1K

Research on two-port network of wavelet transform processor using surface acoustic wavelet devices and its

Shoubing Liu1, Wenke Lu1, Changchun Zhu2

  • 1School of Information Science and Technology, Donghua University, Shanghai 201620, China.

Ultrasonics
|June 10, 2017
PubMed
Summary

This study introduces a channel segmentation method for analyzing wavelet transform processors (WTPs) using surface acoustic wave (SAW) devices. This new approach simplifies WTP design and analysis, reducing research time and costs.

Keywords:
Channel segmentation methodInput-output characteristicMatching circuit networkSurface acoustic wave (SAW)Two-port networkWavelet transform processor (WTP)

More Related Videos

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

18.0K
Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.5K

Related Experiment Videos

Last Updated: Feb 28, 2026

Fabrication of Surface Acoustic Wave Devices on Lithium Niobate
07:55

Fabrication of Surface Acoustic Wave Devices on Lithium Niobate

Published on: June 18, 2020

13.1K
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

18.0K
Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.5K

Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Acoustic Devices

Background:

  • Traditional methods for designing wavelet transform processors (WTPs) using surface acoustic wave (SAW) devices are time-consuming and expensive due to a lack of effective simulation tools.
  • Existing two-port network analysis tools are not directly applicable to WTPs with apodized interdigital transducers (IDTs).

Purpose of the Study:

  • To develop a novel simulation and emulation method for WTPs utilizing SAW devices.
  • To propose a channel segmentation technique for analyzing WTPs with non-uniform IDTs.

Main Methods:

  • Introduced a channel segmentation method to convert WTPs into parallel channels.
  • Derived formulas for calculating channel parameters, including finger pairs and static capacitance.
  • Calculated two-port network admittance parameters for each channel and applied parallel network simplification rules.

Main Results:

  • Successfully obtained the impulse response function and matching circuit for WTPs using SAW devices.
  • Validated the accuracy of the calculated two-port network parameters against network analyzer measurements.
  • Demonstrated consistency between the derived impulse response function and experimental measurements.

Conclusions:

  • The proposed channel segmentation method and two-port network analysis tool offer a viable solution for simulating and analyzing WTPs with SAW devices.
  • This approach significantly reduces research and design cycle times and costs.
  • The developed tool possesses high theoretical and practical value for the field.