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博士論文

脳波信号解析に注目したノイズ除去、特徴抽出、実験観測応用を最適化する数理基盤に関する研究

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脳波信号解析に注目したノイズ除去、特徴抽出、実験観測応用を最適化する数理基盤に関する研究

Persistent ID (NDL)
info:ndljp/pid/11063861
Material type
博士論文
Author
Singh, Balbir
Publisher
-
Publication date
2017-03-24
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
九州工業大学,博士(工学)
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Notes on use

Note (General):

九州工業大学博士学位論文 学位記番号:生工博甲第290号 学位授与年月日:平成29年3月24日平成28年度

Detailed bibliographic record

Summary, etc.:

Electroencephalography (EEG) data inevitably contains a large amount of noise particularly from ocular potentials in tasks with eye-movements and eye-...

Table of Contents

Provided by:国立国会図書館デジタルコレクションLink to Help Page
  • 2023-08-05 再収集

  • 2023-12-06 再収集

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Bibliographic Record

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Digital

Material Type
博士論文
Author/Editor
Singh, Balbir
Author Heading
Publication Date
2017-03-24
Publication Date (W3CDTF)
2017-03-24
Alternative Title
A Mathematical Framework to Optimize Methods for De-noising and Features Extraction of EEG Signals and Perspectives on Applications of Experimental Observations
Contributor
我妻, 広明
Degree grantor/type
九州工業大学
Date Granted
2017-03-24