A spatio-temporal fastica algorithm for separating convolutive mixtures

Scott C. Douglas*, Hiroshi Sawada, Shoji Makino

*この研究の対応する著者

研究成果: Conference contribution

21 被引用数 (Scopus)

抄録

This paper presents a spatio-temporal extension of the well-known fastICA algorithm of Hyvärinen and Oja that is applicable to both convolutive blind source separation and multichannel blind deconvolution tasks. Our time-domain algorithm combines multichannel spatio-temporal prewhitening via multi-stage least-squares linear prediction with a fixed-point iteration involving a new adaptive technique for imposing paraunitary constraints on the multichannel separation filter. Our technique also allows for efficient reconstruction of individual signals as observed in the sensor measurements for single-input, multiple-output (SIMO) BSS tasks. Analysis and simulations verify the utility of the proposed methods.

本文言語English
ホスト出版物のタイトル2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
出版社Institute of Electrical and Electronics Engineers Inc.
ページ165-168
ページ数4
ISBN(印刷版)0780388747, 9780780388741
DOI
出版ステータスPublished - 2005
外部発表はい
イベント2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
継続期間: 2005 3月 182005 3月 23

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
V
ISSN(印刷版)1520-6149

Conference

Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
国/地域United States
CityPhiladelphia, PA
Period05/3/1805/3/23

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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