False Nearest Neighbor Analysis of Japanese Vowels
スポンサーリンク
概要
- 論文の詳細を見る
Nonlinear dynamical structure of the Japanese vowels is investigated by the false nearest neighbor (FNN) analysis. The FNN analysis estimates the minium embedding dimension for a reliable analysis of nonlinear dynamics in time series data. The results imply that the minimum embedding dimension for the normal phonation of Japanese vowels is d_E=4.
- 社団法人電子情報通信学会の論文
- 1999-02-08
著者
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Tokuda Isao
Department Of Computer Science And Systems Engineering Muroran Institute Of Technology
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AIHARA Kazuyuki
Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The Universi
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Aihara Kazuyuki
Department Of Complexity Science And Engineering Graduate School Frontier Sciences The University Of
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Miyano Takaya
Device Technology Section Advanced Technology Lab. Sumitomo Metal Industries Ltd.
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Aihara Kazuyuki
Department Of Complex Science And Engineering Graduate School Of Frontier Science University Of Toky
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Aihara Kazuyuki
Department Of Mathematical Engineering And Information Physics Faculty Of Engineering University Of
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