Blind source separation with different sensor spacing and filter length for each frequency range

H. Sawada, S. Araki, R. Mukai, S. Makino

研究成果: Conference contribution

13 被引用数 (Scopus)

抄録

This paper presents a method for blind source separation using several separating subsystems whose sensor spacing and filter length can be configured individually. Each subsystem is responsible for source separation of an allocated frequency range. With this mechanism, we can use appropriate sensor spacing as well as filter length for each frequency range. We obtained better separation performance than with the conventional method by using a wide sensor spacing and a long filter for a low frequency range, and a narrow sensor spacing and a short filter for a high frequency range.

本文言語English
ホスト出版物のタイトルNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
編集者Samy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
出版社Institute of Electrical and Electronics Engineers Inc.
ページ465-474
ページ数10
ISBN(電子版)0780376161
DOI
出版ステータスPublished - 2002
外部発表はい
イベント12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
継続期間: 2002 9 6 → …

出版物シリーズ

名前Neural Networks for Signal Processing - Proceedings of the IEEE Workshop
2002-January

Other

Other12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
国/地域Switzerland
CityMartigny
Period02/9/6 → …

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 人工知能
  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • 信号処理

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