Online estimation of complexity using variable forgetting factor

Koichi Sugisaki, Hiromitsu Ohmori

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

Recently, the utility of Sample Entropy(SampEn) as a complexity measure was shown via applying to time series data generated from in a variety of systems. However, online estimation method of SampEn index has not been developed yet. If SampEn can be estimated online, we can apply this index to time-varying system. In this paper, we developed the recursive SampEn algorithm to estimate the changes of system complexity online. In additon, we verified the utility of this algorithm by simulations. Consequently, we assure that this algorithm can be applied to time series generated from in a variety of time-varying system potentially.

本文言語English
ホスト出版物のタイトルSICE Annual Conference, SICE 2007
ページ1-6
ページ数6
DOI
出版ステータスPublished - 2007
イベントSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
継続期間: 2007 9月 172007 9月 20

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Other

OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
国/地域Japan
CityTakamatsu
Period07/9/1707/9/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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