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

A coded approach to system identification using a modified Golay FIR filter.

Krishna Oolun1, Patrick Gaydecki, Chawdharry Bhurtum

  • 1Department of Electrical & Electronic Engineering, Faculty of Engineering, University of Mauritius, Reduit, Mauritius. oolun@uom.ac.mu

ISA Transactions
|January 28, 2003
PubMed
Summary

This study introduces a novel coded interrogation method for statistical system identification using adaptive finite impulse response (AFIR) filters. The technique demonstrates improved performance over existing approaches, achieving high accuracy in system response analysis.

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

Cough sound spectro-temporal analysis and automated detection using Vision Transformers.

Digital health·2025
Same author

A wearable gait-analysis device for idiopathic normal-pressure hydrocephalus (INPH) monitoring.

Biomedical physics & engineering express·2024
Same author

A Visual Tracking System for Honey Bee (Hymenoptera: Apidae) 3D Flight Trajectory Reconstruction and Analysis.

Journal of insect science (Online)·2021
Same author

An Intelligent Remote Monitoring System for Total Knee Arthroplasty Patients.

Journal of medical systems·2017
Same author

Data reduction for cough studies using distribution of audio frequency content.

Cough (London, England)·2012
Same author

Urinary incontinence: a vibration alert system for detecting pad overflow.

Assistive technology : the official journal of RESNA·2012

Area of Science:

  • Engineering
  • Signal Processing
  • Control Systems

Background:

  • System identification is crucial for understanding and modeling dynamic systems.
  • Existing methods for system identification have limitations in performance and applicability.
  • Adaptive finite impulse response (AFIR) filters are widely used but require efficient identification techniques.

Purpose of the Study:

  • To present a new coded interrogation approach for statistical system identification.
  • To demonstrate the efficacy of a modified Golay sequence applied to AFIR filter systems.
  • To overcome the shortfalls of current system identification techniques.

Main Methods:

  • Development of the theory behind the coded interrogation technique.
  • Implementation of a prototype model for experimental verification.

Related Experiment Videos

  • Application of a modified Golay sequence for system excitation.
  • Utilizing an adaptive finite impulse response (AFIR) filter framework.

    • Main Results:

    • The proposed technique effectively identifies system parameters.
    • Experimental results show an average deviation of +/- 2.94% from the ideal response for a first-order linear time-invariant (LTI) system.
    • The coded interrogation method circumvents limitations of comparative approaches.

    Conclusions:

    • The coded interrogation approach offers a robust and accurate method for statistical system identification.
    • This technique provides a valuable alternative for system modeling, particularly with AFIR filters.
    • The experimental validation confirms the practical applicability and high performance of the proposed method.