EEG signal analysis using machine learning
The MSc (Signal Processing) programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1572602023-07-04T17:47:11Z EEG signal analysis using machine learning Zhang, Enshang Wen Bihan School of Electrical and Electronic Engineering bihan.wen@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The MSc (Signal Processing) programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future involvement in this area. Master of Science (Signal Processing) 2022-05-11T13:43:16Z 2022-05-11T13:43:16Z 2022 Thesis-Master by Coursework Zhang, E. (2022). EEG signal analysis using machine learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157260 https://hdl.handle.net/10356/157260 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Zhang, Enshang EEG signal analysis using machine learning |
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The MSc (Signal Processing) programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future involvement in this area. |
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Wen Bihan |
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Wen Bihan Zhang, Enshang |
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Thesis-Master by Coursework |
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Zhang, Enshang |
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Zhang, Enshang |
title |
EEG signal analysis using machine learning |
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EEG signal analysis using machine learning |
title_full |
EEG signal analysis using machine learning |
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EEG signal analysis using machine learning |
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EEG signal analysis using machine learning |
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eeg signal analysis using machine learning |
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Nanyang Technological University |
publishDate |
2022 |
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https://hdl.handle.net/10356/157260 |
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