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

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

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

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
EditorsSamy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-474
Number of pages10
ISBN (Electronic)0780376161
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
Duration: 2002 Sep 6 → …

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume2002-January

Other

Other12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
Country/TerritorySwitzerland
CityMartigny
Period02/9/6 → …

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Signal Processing

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