Polar coordinate based nonlinear function for frequency-domain blind source separation

Hiroshi Sawada*, Ryo Mukai, Shoko Araki, Shoji Makino

*この研究の対応する著者

研究成果: Article査読

77 被引用数 (Scopus)

抄録

This paper discusses a nonlinear function for independent component analysis to process complex-valued signals in frequency-domain blind source separation. Conventionally, nonlinear functions based on the Cartesian coordinates are widely used. However, such functions have a convergence problem. In this paper, we propose a more appropriate nonlinear function that is based on the polar coordinates of a complex number. In addition, we show that the difference between the two types of functions arises from the assumed densities of independent components. Our discussion is supported by several experimental results for separating speech signals, which show that the polar type nonlinear functions behave better than the Cartesian type.

本文言語English
ページ(範囲)590-596
ページ数7
ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E86-A
3
出版ステータスPublished - 2003 3月
外部発表はい

ASJC Scopus subject areas

  • 信号処理
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 電子工学および電気工学
  • 応用数学

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