Spatial alignment of acoustic sources based on spherical harmonics radiation analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

The radiation pattern of sound sources such as loudspeakers, musical instruments, the human voice and machines is of importance in a wide range of applications. Recently, radiation analysis has been studied by measuring the sound field around the source using spherical microphone arrays, and computing the spherical harmonics spectrum of the radiated sound field. However, the latter may change with the positioning of the source inside the measurement array, leading to a potential difficulty in determining the acoustic radiation pattern consistently. This paper presents the theoretical analysis of the spherical harmonics spectrum of spatially translated sources, and proposes several measures for the deviation of sources from their acoustic center. These measures can then be used for spatial alignment of sources, overcoming inconsistency due to misalignment.

Original languageEnglish
Title of host publicationFinal Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
DOIs
StatePublished - 28 Jun 2010
Event4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010 - Limassol, Cyprus
Duration: 3 Mar 20105 Mar 2010

Publication series

NameFinal Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010

Conference

Conference4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010
Country/TerritoryCyprus
CityLimassol
Period3/03/105/03/10

Keywords

  • Acoustic center
  • Sound sources
  • Spherical harmonics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Spatial alignment of acoustic sources based on spherical harmonics radiation analysis'. Together they form a unique fingerprint.

Cite this