Multidirectional simultaneous estimation of head-related transfer functions by prediction error method

Yurika Tokuzumi, Kentaro Ishikawa, Ichiro Maruta, Shuichi Adachi, Kentaro Matsui, Akio Ando

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes a method of estimating the HRTF (head-related transfer function) to shorten its measurement time by applying a system identification method. Since each directional HRTF has conventionally had to be measured one by one, a larger number of directions results in a longer HRTF measurement time. Since multidirectional HRTFs can also be treated as an MISO (multiple-input single-output) system, the proposed method estimates them simultaneously by a PEM (prediction error method). Experimental results indicated that the proposed method shortens the measurement time for HRTFs of 61 directions by a factor of 280.

Original languageEnglish
Title of host publicationSYSID 2012 - 16th IFAC Symposium on System Identification, Final Program
Pages197-202
Number of pages6
EditionPART 1
DOIs
Publication statusPublished - 2012 Oct 9
EventUniversite Libre de Bruxelles - Bruxelles, Belgium
Duration: 2012 Jul 112012 Jul 13

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume16
ISSN (Print)1474-6670

Other

OtherUniversite Libre de Bruxelles
CountryBelgium
CityBruxelles
Period12/7/1112/7/13

Keywords

  • Head-related transfer functions
  • Least-squares estimation
  • Multiple-input systems
  • Prediction error methods
  • Pseudorandom sequences

ASJC Scopus subject areas

  • Control and Systems Engineering

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