Computer learning method for scattering junction identification

A. Kestian, A. Roginska

Research output: Contribution to journalConference articlepeer-review

Abstract

Acoustic reflectometry is a non-invasive, time-domain method that is used to identify the geometry of an acoustical space. A sound pulse is injected into a space and the resulting impulse response details particular changes of impedance, which is a result of a cross-sectional area change or an elbow/T-intersection. Each cause of reflection, known as a scattering junction, has a distinct reflection contour. Previous works were able to identify these scattering junctions via algorithms that attempt to extract particular contours from the impulse response. In the present study, the prominent reflections of the space are observed, isolated, and then compared to a training database of all possible scattering junctions. This method eliminates the necessity to create a contour identification algorithm, as scattering junctions are defined based on its most similar neighbors in the training database. Results suggest that this computer-learning algorithm can successfully identify reflection contours of a space with varying cross-sectional areas from those that were stored in the training database, which suggests that this method could be a more efficient and versatile alternative to previous identification processes.

Original languageEnglish (US)
Pages (from-to)3329-3334
Number of pages6
JournalProceedings - European Conference on Noise Control
StatePublished - 2008
Event7th European Conference on Noise Control 2008, EURONOISE 2008 - Paris, France
Duration: Jun 29 2008Jul 4 2008

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Public Health, Environmental and Occupational Health
  • Building and Construction
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Automotive Engineering
  • Aerospace Engineering

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