Bai Xiaoxiao | Department Of Electrical And Electronic Engineering The University Of Tokushima

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概要

• BAI Xiaoxiaoの詳細を見る
• 同名の論文著者
• Department Of Electrical And Electronic Engineering The University Of Tokushimaの論文著者

関連著者

• Kinouchi Yohsuke

  Department of Electrical and Electronic Engineering, Faculty of Engineering. Technical College, The

• Kinouchi Y

  Univ. Tokushima Tokushima‐shi Jpn

• Kinouchi Yohsuke

  徳島大学

• Kinouchi Yohsuke

  The University Of Tokushima

• BAI Xiaoxiao

  Department of Electrical and Electronic Engineering, the University of Tokushima

• Zhang Q

  Harbin Institute Of Technology

• Zhang Qinyu

  Department Of Electrical And Electronic Engineering The University Of Tokushima

• Bai Xiaoxiao

  Department Of Electrical And Electronic Engineering The University Of Tokushima

• Kinouchi Yohsuke

  徳島大学医学部

• Kinouchi Yohsuke

  Department Of Electrical And Electronic Engineering Institute Of Socio- Techno Sciences University O

• SCHICHJO Fumio

  Suzue Hospital

• ZHANG Qinyu

  Department of Electrical and Electronic Engineering, the University of Tokushima

• MINATO Tadayoshi

  Minato Industry Co. Ltd.

• Li Zhuoming

  Department Of Electrical And Electronic Engineering The University Of Tokushima

• Akutagawa Masatake

  The University of Tokushima

• ZHANG Qinyu

  Shenzhen Graduate School of Harbin Institute of Tech.

• AKUTAGAWA Masatake

  Department of Electrical and Electronic Engineering, the University of Tokushima

• SHICHIJO Fumio

  Suzue Hospital

• Akutagawa Masatake

  Department Of Electrical And Electronic Engineering Institute Of Socio- Techno Sciences University O

• Zhang QY

  Department of Electrical and Electronic Engineering, the University of Tokushima

• Kinouchi Y

  Department of Electrical and Electronic Engineering, the University of Tokushima

• Bai XX

  Department of Electrical and Electronic Engineering, the University of Tokushima

• Minato T

  Minato Industry Co. Ltd.

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著作論文

• Multi-Dipole Sources Identification from EEG Topography Using System Identification Method(Biological Engineering)
• Accuracy of Two-Dipole Source Localization Using a Method Combining BP Neural Network with NLS Method from 32-Channel EEGs(Human-computer Interaction)

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