<図書>
Topics in nonlinear time series analysis : with implications for EEG analysis
責任表示 | Andreas Galka |
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シリーズ | Advanced series in nonlinear dynamics ; v. 14 |
データ種別 | 図書 |
出版情報 | Singapore : World Scientific , c2000 |
本文言語 | 英語 |
大きさ | xv, 342 p. : ill. ; 23 cm |
概要 | This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on...the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state space reconstruction, correlation dimension estimation, testing for determinism and surrogate data testing are presented -- algorithms which have been playing a central role in the investigation of deterministic chaos and related phenomena since 1980. Special emphasis is given to the much-disputed issue whether these algorithms can be successfully employed for the analysis of the human electroencephalogram. 続きを見る |
所蔵情報
状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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理系図3F 数理独自 | GALK/10/1 | 2000 |
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023212000000997 |
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芸工図 2F 書架 | 417.6/G17 | 2000 |
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013212007003012 |
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書誌詳細
一般注記 | Includes bibliography (p. 321-335) and index |
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著者標目 | *Galka, Andreas |
件 名 | LCSH:Time-series analysis LCSH:Nonlinear theories LCSH:Chaotic behavior in systems LCSH:Electroencephalography -- Mathematics 全ての件名で検索 |
書誌ID | 1001247386 |
ISBN | 9810241488 |
NCID | BA45898697 |
巻冊次 | ISBN:9810241488 |
登録日 | 2009.09.18 |
更新日 | 2009.11.02 |