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

Lattice form adaptive infinite impulse response filtering algorithm for active noise control.

Jing Lu1, Chunhua Shen, Xiaojun Qiu

  • 1State Key Laboratory of Modern Acoustics and Institute of Acoustics, Nanjing University, Nanjing 210093, China. lujing@nju.edu.cn

The Journal of the Acoustical Society of America
|February 1, 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

Determination of non-volatile metabolic profiles and their sensory relevance in different grades of brandy through widely targeted metabolomics.

Food chemistry: X·2026
Same author

Atlas of predicted protein complex structures across kingdoms.

Nature communications·2026
Same author

The Clinical Utility of Whole-Exome Sequencing in the Prenatal Diagnosis of Fetal Skeletal Dysplasia.

International journal of women's health·2026
Same author

Accurate Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Study of Ultrasound Diagnosis of Acrania-Exencephaly-Anencephaly Sequence in Middle First Trimester: A Multicenter Center, Retrospective Analysis.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2025
Same author

Diffusion Models are Efficient Data Generators for Human Mesh Recovery.

IEEE transactions on pattern analysis and machine intelligence·2025

This study introduces a novel adaptive algorithm using lattice form infinite impulse response (IIR) filters for active noise control, improving stability and convergence over direct form IIR filters.

Area of Science:

  • Acoustics and Signal Processing
  • Control Systems Engineering

Background:

  • Infinite impulse response (IIR) filters offer advantages over finite impulse response (FIR) filters in active noise control due to their transfer function poles.
  • Direct form IIR filter structures present challenges in stability assessment and exhibit slow convergence for narrow-band noise with significant power variations.

Purpose of the Study:

  • To propose a new adaptive algorithm for active noise control that overcomes the limitations of direct form IIR filters.
  • To enhance the stability and convergence speed of adaptive IIR filters in active noise control systems.

Main Methods:

  • Development of a novel adaptive algorithm utilizing the lattice form adaptive IIR filter within an active noise control system.
  • Presentation of full mathematical derivations for the proposed algorithm.

Related Experiment Videos

  • Comparative analysis against established algorithms like filtered-u LMS and filtered-v LMS.

    • Main Results:

    • The proposed lattice form adaptive IIR filter algorithm demonstrates superior performance compared to existing methods.
    • Improved stability and faster convergence rates were observed, particularly for challenging noise conditions.

    Conclusions:

    • The novel adaptive algorithm based on lattice form IIR filters is a more effective solution for active noise control.
    • This approach addresses key limitations of direct form IIR filters, offering enhanced performance in real-world applications.