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 Experiment Videos

Delayed models for simplified musical instruments.

Ana Barjau1, Vincent Gibiat

  • 1Departament d'Enginyeria Mecànica, Universitat Politècnica de Catalunya, Diagonal 647, 08028 Barcelona, Spain. Ana.Barjau@upc.es

The Journal of the Acoustical Society of America
|July 26, 2003
PubMed
Summary
This summary is machine-generated.

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

An experimental analysis of acoustic input impedance of a narrow pipe with low Mach number flow and thermal gradient.

The Journal of the Acoustical Society of America·2020
Same author

Input impedance measurement of a narrow pipe with thermal gradient.

The Journal of the Acoustical Society of America·2019
Same author

Comparison of the transmission properties of self-similar, periodic, and random multilayers at normal incidence.

The Journal of the Acoustical Society of America·2014
Same author

Fast topological imaging.

Ultrasonics·2012
Same author

On the one-dimensional acoustic propagation in conical ducts with stationary mean flow.

The Journal of the Acoustical Society of America·2008
Same author

Acoustical propagation in a prefractal waveguide.

Physical review. E, Statistical, nonlinear, and soft matter physics·2005
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

This study introduces new mathematical equations to simulate musical instrument vibrations more efficiently. These nonlinear dynamical systems (NLDS) models offer analytical insights into instrument behavior, improving upon traditional convolution methods.

Area of Science:

  • Acoustics and Musical Instrument Physics
  • Nonlinear Dynamical Systems (NLDS)

Background:

  • Musical instruments rely on continuous vibrating elements (strings, air columns) modeled as 1D systems.
  • Oscillations are initiated by conditions or nonlinear energy input, often localized.
  • The coupling of these elements is typically modeled using convolution integrals.

Purpose of the Study:

  • To reformulate the convolution integral for modeling musical instrument vibrations.
  • To develop more efficient simulation methods compared to traditional convolution.
  • To enable analytical analysis of instrument behavior using NLDS.

Main Methods:

  • Rewriting the convolution integral to separate phenomena like internal losses and end radiation.
  • Applying mathematical manipulations to derive algebraic iterative or delayed differential equations.

Related Experiment Videos

  • Utilizing nonlinear dynamical systems (NLDS) tools for analysis.
  • Main Results:

    • Developed novel equations (algebraic iterative or delayed differential) applicable to various energy inputs.
    • Demonstrated a more efficient simulation of instrument behavior.
    • Enabled analytical study of different operational regimes.

    Conclusions:

    • The derived equations provide a powerful and efficient framework for simulating and analyzing musical instruments.
    • This approach enhances understanding of instrument physics, particularly for woodwinds and strings.
    • The NLDS framework offers new analytical possibilities for instrument design and performance.