Adaptive multichannel equalization applied to room acoustics exploiting the sparsity of target response

Rajan S. Rashobh, Andy W.H. Khong

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

Abstract

The adaptive multiple-input/output inverse theorem (A-MINT) multichannel equalization algorithm was proposed to address the computational complexity of the MINT algorithm. However, similar to MINT, A-MINT also assumes an arbitrary modeling delay for the target response which, if inappropriately chosen, results in misconvergence or poor performance. We present a new adaptive algorithm that exploits the sparsity of a target response to estimate equalization filters. The proposed algorithm automatically selects a suitable modeling delay for the equalized response so as to achieve a minimum-norm solution.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5162-5166
Number of pages5
ISBN (Print)9781479928927
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/TerritoryItaly
CityFlorence
Period5/4/145/9/14

ASJC Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • acoustic impulse response
  • Adaptive multichannel equalization
  • dereverberation
  • sparseness

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